Title
A single sentence description.
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MEAM Potential for Zr developed by Kim, Lee, and Baskes (2006) v001 |
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Description
A short description of the Model describing its key features including for example: type of model (pair potential, 3-body potential, EAM, etc.), modeled species (Ac, Ag, ..., Zr), intended purpose, origin, and so on.
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This is a semiempirical interatomic potential for hcp Zr, developed based on the MEAM (modified embedded-atom method) formalism. This potential does not cause the stability problem previously reported in MEAM for hcp elements, and describes a wide range of physical properties (bulk properties, point defect properties, planar defect properties, and thermal properties) of pure Zr, in good agreement with experimental information. |
Species
The supported atomic species.
| Zr |
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
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None |
Content Origin | https://www.ctcms.nist.gov/potentials/entry/2006--Kim-Y-M-Lee-B-J-Baskes-M-I--Zr/ |
Contributor |
I Nikiforov |
Maintainer |
I Nikiforov |
Developer |
Young-Min Kim Byeong-Joo Lee Michael I. Baskes |
Published on KIM | 2023 |
How to Cite |
This Model originally published in [1] is archived in OpenKIM [2-5]. [1] Kim Y-M, Lee B-J, Baskes MI. Modified embedded-atom method interatomic potentials for Ti and Zr. Phys Rev B [Internet]. 2006Jul;74(1):014101. Available from: https://link.aps.org/doi/10.1103/PhysRevB.74.014101 doi:10.1103/PhysRevB.74.014101 — (Primary Source) A primary source is a reference directly related to the item documenting its development, as opposed to other sources that are provided as background information. [2] Kim Y-M, Lee B-J, Baskes MI. MEAM Potential for Zr developed by Kim, Lee, and Baskes (2006) v001. OpenKIM; 2023. doi:10.25950/b92b9944 [3] Afshar Y, Hütter S, Rudd RE, Stukowski A, Tipton WW, Trinkle DR, et al. The modified embedded atom method (MEAM) potential v002. OpenKIM; 2023. doi:10.25950/ee5eba52 [4] Tadmor EB, Elliott RS, Sethna JP, Miller RE, Becker CA. The potential of atomistic simulations and the Knowledgebase of Interatomic Models. JOM. 2011;63(7):17. doi:10.1007/s11837-011-0102-6 [5] Elliott RS, Tadmor EB. Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API). OpenKIM; 2011. doi:10.25950/ff8f563a Click here to download the above citation in BibTeX format. |
Citations
This panel presents information regarding the papers that have cited the interatomic potential (IP) whose page you are on. The OpenKIM machine learning based Deep Citation framework is used to determine whether the citing article actually used the IP in computations (denoted by "USED") or only provides it as a background citation (denoted by "NOT USED"). For more details on Deep Citation and how to work with this panel, click the documentation link at the top of the panel. The word cloud to the right is generated from the abstracts of IP principle source(s) (given below in "How to Cite") and the citing articles that were determined to have used the IP in order to provide users with a quick sense of the types of physical phenomena to which this IP is applied. The bar chart shows the number of articles that cited the IP per year. Each bar is divided into green (articles that USED the IP) and blue (articles that did NOT USE the IP). Users are encouraged to correct Deep Citation errors in determination by clicking the speech icon next to a citing article and providing updated information. This will be integrated into the next Deep Citation learning cycle, which occurs on a regular basis. OpenKIM acknowledges the support of the Allen Institute for AI through the Semantic Scholar project for providing citation information and full text of articles when available, which are used to train the Deep Citation ML algorithm. |
This panel provides information on past usage of this interatomic potential (IP) powered by the OpenKIM Deep Citation framework. The word cloud indicates typical applications of the potential. The bar chart shows citations per year of this IP (bars are divided into articles that used the IP (green) and those that did not (blue)). The complete list of articles that cited this IP is provided below along with the Deep Citation determination on usage. See the Deep Citation documentation for more information. ![]() 180 Citations (101 used)
Help us to determine which of the papers that cite this potential actually used it to perform calculations. If you know, click the .
USED (high confidence) A. L. Lloyd et al., “Modelling the effect of hydrogen on crack growth in zirconium,” Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2019. link Times cited: 12 USED (high confidence) M. Wang, S. Jiang, and Y. Zhang, “Phase Transformation, Twinning, and Detwinning of NiTi Shape-Memory Alloy Subject to a Shock Wave Based on Molecular-Dynamics Simulation,” Materials. 2018. link Times cited: 27 Abstract: Martensitic transformation, reverse martensitic transformati… read more USED (high confidence) G. Han, H. Wang, D. Lin, X. Y. Zhu, S. Hu, and H. Song, “Phase-field modeling of void anisotropic growth behavior in irradiated zirconium,” Computational Materials Science. 2017. link Times cited: 9 USED (high confidence) Y.-hua Zhou, R. Smith, S. Kenny, and A. L. Lloyd, “Development of an empirical interatomic potential for the Ag–Ti system,” Nuclear Instruments & Methods in Physics Research Section B-beam Interactions With Materials and Atoms. 2017. link Times cited: 5 USED (high confidence) W. Joost, S. Ankem, and M. Kuklja, “Interaction between oxygen interstitials and deformation twins in alpha-titanium,” Acta Materialia. 2016. link Times cited: 26 USED (high confidence) J.-Q. Ren, Q. Sun, L. Xiao, X. Ding, and J. Sun, “Phase transformation behavior in titanium single-crystal nanopillars under [0 0 0 1] orientation tension: A molecular dynamics simulation,” Computational Materials Science. 2014. link Times cited: 66 USED (high confidence) R. K. Siripurapu, “Molecular Dynamics Study of Zirconium and Zirconium Hydride.” 2013. link Times cited: 2 USED (high confidence) D. Lin, S. S. Wang, D. Peng, M. Li, and X. D. Hui, “An n-body potential for a Zr–Nb system based on the embedded-atom method,” Journal of Physics: Condensed Matter. 2013. link Times cited: 49 Abstract: A novel n-body potential for an Zr–Nb system was developed i… read more USED (high confidence) I. Nelasov, A. Kartamyshev, A. Boev, A. Lipnitskii, Y. Kolobov, and T. Nguyen, “Molecular dynamics simulation of the behavior of titanium under high-speed deformation,” Modelling and Simulation in Materials Science and Engineering. 2021. link Times cited: 1 Abstract: We present molecular dynamics simulation to study the α–ω ph… read more USED (high confidence) S. Rawat and N. Mitra, “Evolution of tension twinning in single crystal Ti under compressive uniaxial strain conditions,” Computational Materials Science. 2018. link Times cited: 15 USED (high confidence) W. Joost, “Modeling the Influence of Phase Boundaries and Oxygen Interstitials on the Nucleation and Growth of Deformation Twins in the Alpha-Phase of Titanium Alloys.” 2015. link Times cited: 0 Abstract: Title of dissertation: MODELING THE INFLUENCE OF PHASE BOUND… read more USED (high confidence) N. Vuksic, “New Zirconium Hydrogen Second Nearest Neighbor Modified Embedded Atom Method (MEAM) Potential For Simulation of Stacking Fault Energy Along the < 011̄0 > Path Of The Hexagonal Closely Packed Lattice Basal Plane.” 2014. link Times cited: 0 Abstract: A new Modified Embedded Atom Method (MEAM) potential for zir… read more USED (low confidence) P. Jiang et al., “Development of U-Zr-Xe ternary interatomic potentials appropriate for simulation of defect and Xe behaviors in U-Zr system,” Journal of Nuclear Materials. 2023. link Times cited: 0 USED (low confidence) M. Billah, M. S. Rabbi, K. A. Rahman, and P. Acar, “Temperature and strain rate dependent tensile properties of Titanium carbide/nitride MXenes,” Materials Chemistry and Physics. 2023. link Times cited: 0 USED (low confidence) T.-M. Lin, S.-xia Liu, P. Qu, and X. Zhao, “Investigation on plastic deformation mechanism of gradient nano-polycrystalline pure titanium by atomic simulation,” Vacuum. 2023. link Times cited: 0 USED (low confidence) S. Oh, Y. Jeong, S.-H. Na, J. Kim, A. Zargaran, and B.-J. Lee, “Atomic behavior of Ti in A15 Nb3Sn and its effects on diffusional growth of Nb3Sn layer,” Journal of Alloys and Compounds. 2023. link Times cited: 2 USED (low confidence) T. Wen et al., “Modelling of dislocations, twins and crack-tips in HCP and BCC Ti,” International Journal of Plasticity. 2023. link Times cited: 4 USED (low confidence) K. A. Nair and S. Ghosh, “Crack tip enhanced phase-field model for crack evolution in crystalline Ti6Al from concurrent crystal plasticity FE-molecular dynamics simulations,” European Journal of Mechanics - A/Solids. 2023. link Times cited: 1 USED (low confidence) S. Barik and S. S. Sarangi, “Molecular dynamics simulation studies on tensile mechanical properties of zirconium nanowire: effect of temperature, diameter, and strain rate,” Molecular Simulation. 2022. link Times cited: 1 Abstract: ABSTRACT Molecular Dynamics simulations are used to characte… read more USED (low confidence) M. Zhou, B. Fu, Q. Hou, L. Wu, and R. Pan, “Determining the diffusion behavior of point defects in zirconium by a multiscale modelling approach,” Journal of Nuclear Materials. 2022. link Times cited: 3 USED (low confidence) S. M. A. A. Alvi, A. Faiyad, M. A. M. Munshi, M. Motalab, M. M. Islam, and S. Saha, “Cyclic and tensile deformations of Gold–Silver core shell systems using newly parameterized MEAM potential,” Mechanics of Materials. 2022. link Times cited: 2 USED (low confidence) L. Chang, X. Liu, J. Zhao, and C.-yu Zhou, “Effect of interatomic potential on modelling fracture behavior in hcp titanium: A molecular dynamics study,” Journal of Materials Research and Technology. 2022. link Times cited: 3 USED (low confidence) L. Chang, Z. Tao, S. Yang, X. Liu, and C.-yu Zhou, “Anisotropic deformation behavior of 112-0, 101-0 and 0001-textured nanocrystalline titanium,” Results in Physics. 2022. link Times cited: 0 USED (low confidence) R. Qiu et al., “Finnis–Sinclair-type potential for atomistic simulation of defects behaviour in V-Ti-Ta ternary system,” Journal of Nuclear Materials. 2021. link Times cited: 7 USED (low confidence) S. Oh, X.-gang Lu, Q. Chen, and B.-J. Lee, “Pressure dependence of thermodynamic interaction parameters for binary solid solution phases: An atomistic simulation study,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2021. link Times cited: 0 USED (low confidence) S. Barik and S. Sarangi, “Effect of temperature on mechanical properties of zirconium nanowire using MD simulations,” Materials Today: Proceedings. 2021. link Times cited: 1 USED (low confidence) A. Kedharnath, R. Kapoor, and A. Sarkar, “Classical molecular dynamics simulations of the deformation of metals under uniaxial monotonic loading: A review,” Computers & Structures. 2021. link Times cited: 16 USED (low confidence) G. Gengor, A. Mohammed, and H. Sehitoglu, “101¯2 Twin interface structure and energetics in HCP materials,” Acta Materialia. 2021. link Times cited: 6 USED (low confidence) Y. Yang, M. Liu, S. Zhou, W. Ren, Q. Zhou, and S. Lan, “Breaking through the strength-ductility trade-off in graphene reinforced Ti6Al4V composites,” Journal of Alloys and Compounds. 2021. link Times cited: 22 USED (low confidence) W. Lv et al., “Development of modified embedded-atom model and molecular dynamics simulation of cesium,” Computational Materials Science. 2021. link Times cited: 1 USED (low confidence) S. Rawat and N. Mitra, “Evolution of microstructural deformation mechanisms under equal-channel angular extrusion loading conditions: a molecular dynamics case study of single crystal titanium,” Philosophical Magazine. 2021. link Times cited: 2 Abstract: ABSTRACT Classical molecular dynamics simulations have been … read more USED (low confidence) G. Smirnov, “Non-Arrhenius diffusion in bcc titanium: Vacancy-interstitialcy model,” Physical Review B. 2020. link Times cited: 6 USED (low confidence) K. Hsieh, Y.-Y. Lin, C.-H. Lu, J. Yang, P. Liaw, and C.-L. Kuo, “Atomistic simulations of the face-centered-cubic-to-hexagonal-close-packed phase transformation in the equiatomic CoCrFeMnNi high entropy alloy under high compression,” Computational Materials Science. 2020. link Times cited: 21 Abstract: We performed the modified-embedded-atom-method (MEAM) based … read more USED (low confidence) S. Rawat and S. Chaturvedi, “Strain-rate effect on plasticity and ω-phase transformation in single crystal titanium: A molecular dynamics study,” Mechanics of Materials. 2020. link Times cited: 5 USED (low confidence) J. Tseng et al., “Deformations of Ti-6Al-4V additive-manufacturing-induced isotropic and anisotropic columnar structures: Insitu measurements and underlying mechanisms,” Additive Manufacturing. 2020. link Times cited: 23 USED (low confidence) V. Guder and S. Sengul, “Tensile strength and failure mechanism of hcp zirconium nanowires: Effect of diameter, temperature and strain rate,” Computational Materials Science. 2020. link Times cited: 11 USED (low confidence) S. Rawat and N. Mitra, “Twinning, phase transformation and dislocation evolution in single crystal titanium under uniaxial strain conditions: A molecular dynamics study,” Computational Materials Science. 2020. link Times cited: 14 USED (low confidence) S. Ding and X.-qiang Wang, “Strain rate and temperature effects on the mechanical properties of TiN/VN composite: Molecular dynamics study,” Journal of Alloys and Compounds. 2020. link Times cited: 7 USED (low confidence) S. Weng, X. Yue, T. Fu, X. Chen, X. Long, and X. Peng, “Incipient plasticity and dislocation loop evolution in rock-salt vanadium nitride,” Ceramics International. 2020. link Times cited: 9 USED (low confidence) G. Plummer and G. Tucker, “Bond-order potentials for theTi3AlC2andTi3SiC2MAX phases,” Physical Review B. 2019. link Times cited: 12 USED (low confidence) I. Aslam et al., “Thermodynamic and kinetic behavior of low-alloy steels: An atomic level study using an Fe-Mn-Si-C modified embedded atom method (MEAM) potential,” Materialia. 2019. link Times cited: 12 USED (low confidence) L. E. Atouani, E. E. koraychy, K. Sbiaai, M. Mazroui, and A. Hasnaoui, “Cluster adsorption and migration energetics on hcp Ti (0001) surfaces via atomistic simulations,” Thin Solid Films. 2019. link Times cited: 8 USED (low confidence) P. Chen, F. Wang, and B. Li, “Transitory phase transformations during 101¯2 twinning in titanium,” Acta Materialia. 2019. link Times cited: 41 USED (low confidence) S. Kavousi, B. R. Novak, M. A. Zaeem, and D. Moldovan, “Combined molecular dynamics and phase field simulation investigations of crystal-melt interfacial properties and dendritic solidification of highly undercooled titanium,” Computational Materials Science. 2019. link Times cited: 28 USED (low confidence) T. Fu et al., “Effects of modulation periods on mechanical properties of V/VN nano-multilayers,” Ceramics International. 2019. link Times cited: 12 USED (low confidence) Y. Cheng et al., “Dynamic and structural heterogeneity in undercooled miscible and immiscible metallic liquid,” Journal of Alloys and Compounds. 2019. link Times cited: 4 USED (low confidence) R. P. Leite and M. Koning, “Nonequilibrium free-energy calculations of fluids using LAMMPS,” Computational Materials Science. 2019. link Times cited: 21 USED (low confidence) X. Chen et al., “Atomic Scale Study on the Tension-Compression Asymmetry of Single Crystalline and Nanocrystalline NiTi Shape Memory Alloy,” MatSciRN: Other Computational Materials Science (Topic). 2018. link Times cited: 0 Abstract: The tension-compression asymmetry of single crystalline and … read more USED (low confidence) M. Elkhateeb and Y. Shin, “Molecular dynamics-based cohesive zone representation of Ti6Al4V/TiC composite interface,” Materials & Design. 2018. link Times cited: 43 USED (low confidence) H. Mori and N. Matubayasi, “Resin filling into nano-sized pore on metal surface analyzed by all-atom molecular dynamics simulation over a variety of resin and pore sizes,” Polymer. 2018. link Times cited: 14 USED (low confidence) J.-S. Kim, D. Seol, and B.-J. Lee, “Critical assessment of Pt surface energy – An atomistic study,” Surface Science. 2018. link Times cited: 10 USED (low confidence) X. Chen, S. Lu, Z. Yang, T. Fu, C. Huang, and X. Peng, “Molecular dynamic simulation on nano-indentation of NiTi SMA,” Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. 2018. link Times cited: 41 USED (low confidence) T. Fu et al., “Effects of twin boundaries in vanadium nitride films subjected to tensile/compressive deformations,” Applied Surface Science. 2017. link Times cited: 20 USED (low confidence) Y.-K. Kim, H. Kim, W. Jung, and B.-J. Lee, “Development and application of Ni-Ti and Ni-Al-Ti 2NN-MEAM interatomic potentials for Ni-base superalloys,” Computational Materials Science. 2017. link Times cited: 24 USED (low confidence) T. Fu et al., “Strain rate dependence of tension and compression behavior in nano-polycrystalline vanadium nitride,” Ceramics International. 2017. link Times cited: 30 USED (low confidence) P. Srinivasan, L. Nicola, and A. Simone, “Modeling pseudo-elasticity in NiTi: Why the MEAM potential outperforms the EAM-FS potential,” Computational Materials Science. 2017. link Times cited: 23 USED (low confidence) S. Rawat and N. Mitra, “Twinning assisted α to ω phase transformation in titanium single crystal.” 2017. link Times cited: 1 Abstract: We employ molecular dynamics simulations to simulate the c-a… read more USED (low confidence) G. Bertolino, M. Ruda, R. Pasianot, and D. Farkas, “Atomistic simulation of the tension/compression response of textured nanocrystalline HCP Zr,” Computational Materials Science. 2017. link Times cited: 10 USED (low confidence) C. Feng, X. Peng, T. Fu, Y. Zhao, C. Huang, and Z. Wang, “Molecular dynamics simulation of nano-indentation on Ti-V multilayered thin films,” Physica E-low-dimensional Systems & Nanostructures. 2017. link Times cited: 16 USED (low confidence) T. Fu et al., “Molecular dynamics simulation of plasticity in VN(001) crystals under nanoindentation with a spherical indenter,” Applied Surface Science. 2017. link Times cited: 64 USED (low confidence) M. Zacate, “Indium-defect interactions in FCC and BCC metals studied using the modified embedded atom method,” Hyperfine Interactions. 2016. link Times cited: 0 USED (low confidence) T. Fu, X. Peng, Y. Zhao, T. Li, Q. Li, and Z. Wang, “Molecular dynamics simulation of deformation twin in rocksalt vanadium nitride,” Journal of Alloys and Compounds. 2016. link Times cited: 40 USED (low confidence) Y.-K. Kim, H. Kim, W. Jung, and B.-J. Lee, “Atomistic modeling of the Ti–Al binary system,” Computational Materials Science. 2016. link Times cited: 45 USED (low confidence) W. Dong, “Atomistic Calculations of Interface Properties for Co-Al-W Alloys.” 2016. link Times cited: 1 USED (low confidence) J. Dziedzic, S. Winczewski, and J. Rybicki, “Structure and properties of liquid Al–Cu alloys: empirical potentials compared,” Computational Materials Science. 2016. link Times cited: 17 USED (low confidence) F. Kong et al., “A large-scale simulation method on complex ternary Li–Mn–O compounds for Li-ion battery cathode materials,” Computational Materials Science. 2016. link Times cited: 12 USED (low confidence) T. Fu, X. Peng, C. Huang, D. Yin, Q. Li, and Z. Wang, “Molecular dynamics simulation of VN thin films under indentation,” Applied Surface Science. 2015. link Times cited: 63 USED (low confidence) T. Fu et al., “Molecular dynamics simulation of TiN (001) thin films under indentation,” Ceramics International. 2015. link Times cited: 48 USED (low confidence) A. P. Moore, B. Beeler, C. Deo, M. Baskes, and M. Okuniewski, “Atomistic modeling of high temperature uranium–zirconium alloy structure and thermodynamics,” Journal of Nuclear Materials. 2015. link Times cited: 41 USED (low confidence) P. Chakraborty, A. Moitra, and T. Saha‐Dasgupta, “Effect of hydrogen on degradation mechanism of zirconium: A molecular dynamics study,” Journal of Nuclear Materials. 2015. link Times cited: 19 USED (low confidence) T. Fu et al., “Molecular dynamics simulation of the slip systems in VN,” RSC Advances. 2015. link Times cited: 30 Abstract: We calculate the generalized stacking fault (GSF) energies a… read more USED (low confidence) M. Alam and S. Groh, “Dislocation modeling in bcc lithium: A comparison between continuum and atomistic predictions in the modified embedded atoms method,” Journal of Physics and Chemistry of Solids. 2015. link Times cited: 19 USED (low confidence) R. K. Siripurapu, B. Szpunar, and J. Szpunar, “Molecular Dynamics Study of Hydrogen in α-Zirconium.” 2014. link Times cited: 9 Abstract: Molecular dynamics approach is used to simulate hydrogen (H)… read more USED (low confidence) M. Jamal, N. K. Sarvestani, A. Yazdani, and A. Reshak, “Mechanical and thermodynamical properties of hexagonal compounds at optimized lattice parameters from two-dimensional search of the equation of state,” RSC Advances. 2014. link Times cited: 49 Abstract: We have calculated the mechanical and thermodynamical proper… read more USED (low confidence) I. Ovid’ko, A. Sheinerman, and R. Valiev, “Mg segregations at and near deformation-distorted grain boundaries in ultrafine-grained Al–Mg alloys,” Journal of Materials Science. 2014. link Times cited: 10 USED (low confidence) J. Harvey, A. Gheribi, and P. Chartrand, “Thermodynamic integration based on classical atomistic simulations to determine the Gibbs energy of condensed phases: Calculation of the aluminum-zirconium system,” Physical Review B. 2012. link Times cited: 17 Abstract: In this work, an in silico procedure to generate a fully coh… read more USED (low confidence) J. Li, Y. Dai, and X. Dai, “Long-range n-body potential and applied to atomistic modeling the formation of ternary metallic glasses,” Intermetallics. 2012. link Times cited: 20 USED (low confidence) W. Dong, H.-K. Kim, W. Ko, B.-M. Lee, and B.-J. Lee, “Atomistic modeling of pure Co and Co–Al system,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2012. link Times cited: 42 USED (low confidence) S. Zhang, X. Zhang, Y. Zhu, S. Zhang, L. Qi, and R. Liu, “First-principles investigations on elastic and thermodynamic properties of zirconium under pressure,” Computational Materials Science. 2012. link Times cited: 32 USED (low confidence) X. Jing, Z. Liu, H. Wei, and K. Yao, “The influences of the local impact site and incident energy on the transport behaviors of single copper atom onto Cu (0 0 1) surface,” Applied Surface Science. 2011. link Times cited: 3 USED (low confidence) O. V. Belay and S. Kiselev, “Molecular dynamics simulation of deformation and fracture of a ‘copper - molybdenum’ nanocomposite plate under uniaxial tension,” Physical Mesomechanics. 2011. link Times cited: 10 USED (low confidence) X. Zhen, L. Yuan, D. Shan, and B. Guo, “A molecular dynamics simulation of TiN film growth on TiN(0 0 1),” Computational Materials Science. 2011. link Times cited: 23 USED (low confidence) S.-Y. Min et al., “The effect of porosity on the elasticity of pure titanium: An atomistic simulation,” Metals and Materials International. 2010. link Times cited: 4 USED (low confidence) H. Wang, J. Chang, and B. Wei, “Density and related thermophysical properties of metastable liquid Ni–Cu–Fe ternary alloys,” Physics Letters A. 2010. link Times cited: 11 USED (low confidence) Y.-M. Kim, N. Kim, and B.-J. Lee, “Atomistic Modeling of pure Mg and Mg―Al systems,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2009. link Times cited: 119 USED (low confidence) K. Kang, I. Sa, J.-C. Lee, E. Fleury, and B.-J. Lee, “Atomistic modeling of the Cu-Zr-Ag bulk metallic glass system,” Scripta Materialia. 2009. link Times cited: 26 USED (low confidence) E.-H. Kim and B.-J. Lee, “Size dependency of melting point of crystalline nano particles and nano wires: A thermodynamic modeling,” Metals and Materials International. 2009. link Times cited: 35 USED (low confidence) A. Gheribi, “Molecular dynamics study of stable and undercooled liquid zirconium based on MEAM interatomic potential,” Materials Chemistry and Physics. 2009. link Times cited: 21 USED (low confidence) S. Groh, E. Marin, M. Horstemeyer, and H. Zbib, “Multiscale modeling of the plasticity in an aluminum single crystal,” International Journal of Plasticity. 2009. link Times cited: 187 USED (low confidence) I. Sa and B.-J. Lee, “Modified embedded-atom method interatomic potentials for the Fe-Nb and Fe-Ti binary systems,” Scripta Materialia. 2008. link Times cited: 48 USED (low confidence) H.-K. Kim, W. Jung, and B.-J. Lee, “Modified embedded-atom method interatomic potentials for the Fe–Ti–C and Fe–Ti–N ternary systems,” Acta Materialia. 2008. link Times cited: 121 USED (low confidence) K. Kim, J.-pyoung Ahn, J.-H. Lee, and J.-C. Lee, “High-strength Cu–Zr binary alloy with an ultrafine eutectic microstructure,” Journal of Materials Research. 2008. link Times cited: 12 Abstract: In this study, we synthesized Cu–Zr binary alloys reinforced… read more USED (low confidence) Y. Hao, L. Zhang, X.-rong Chen, Y.-H. Li, and H. He, “Phase transition and elastic constants of zirconium from first-principles calculations,” Journal of Physics: Condensed Matter. 2008. link Times cited: 39 Abstract: Using the projector augmented wave (PAW) within the Perdew–B… read more USED (low confidence) M. Luo, L. Liang, L. Lang, S. Xiao, W. Hu, and H. Deng, “Molecular dynamics simulations of the characteristics of Mo/Ti interfaces,” Computational Materials Science. 2018. link Times cited: 21 USED (low confidence) A. Vakhrushev, A. Fedotov, A. V. Severjuhin, and R. Valeev, “Effect of Pore Size Parameters for Mechanisms of Nanofilm Coatings on Substrates of Porous Alumina,” Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software. 2017. link Times cited: 1 USED (low confidence) Z. Xu, Q. Zeng, L. Yuan, Y. Qin, M. Chen, and D. Shan, “Molecular dynamics study of the interactions of incident N or Ti atoms with the TiN(001) surface,” Applied Surface Science. 2016. link Times cited: 17 USED (low confidence) V. Ogorodnikov, “Computer Modeling of Atomic Mechanisms of Refractory Carbides Deformation and Fracturing by Molecular Dynamics Method,” Izvestiya of Altai State University. 2014. link Times cited: 0 Abstract: Особо тугоплавкие материалы, к которым прежде всего относятс… read more USED (low confidence) A. P. Moore, B. Beeler, M. Baskes, M. Okuniewski, and C. Deo, “Atomistic Ordering in Body Centered Cubic Uranium-Zirconium Alloy,” MRS Proceedings. 2013. link Times cited: 8 USED (low confidence) K. Kang, K. Park, J.-C. Lee, E. Fleury, and B.-J. Lee, “Correlation between plasticity and other materials properties of Cu–Zr bulk metallic glasses: An atomistic simulation study,” Acta Materialia. 2011. link Times cited: 29 USED (low confidence) K. Saitoh and K. Kubota, “Atomistic Simulation on the Relation between Amorphization and Crystalline Transformation in Ni-Ti Alloy,” Journal of Solid Mechanics and Materials Engineering. 2010. link Times cited: 0 Abstract: Ni-Ti alloys are typical shape-memory materials. It is sugge… read more USED (low confidence) K. Kim, J.-pyoung Ahn, Y. Kim, B.-J. Lee, and J.-C. Lee, “Structural characterization and stress-relaxation behavior of superlattice Cu5Zr,” Scripta Materialia. 2008. link Times cited: 3 NOT USED (low confidence) Y.-F. Wu, W. Yu, and S. Shen, “Developing an analytical bond-order potential for Hf/Nb/Ta/Zr/C system using machine learning global optimization,” Ceramics International. 2023. link Times cited: 0 NOT USED (low confidence) Y.-F. Wu, W. Yu, and S. Shen, “Developing a variable charge potential for Hf/Nb/Ta/Ti/Zr/O system via machine learning global optimization,” Materials & Design. 2023. link Times cited: 1 NOT USED (low confidence) S. Attarian and S. Xiao, “Development of a 2NN-MEAM potential for Ti B system and studies of the temperature dependence of the nanohardness of TiB2,” Computational Materials Science. 2022. link Times cited: 3 NOT USED (low confidence) H. Xiang and W. Guo, “A newly developed interatomic potential of Nb−Al−Ti ternary systems for high-temperature applications,” Acta Mechanica Sinica. 2022. link Times cited: 0 NOT USED (low confidence) M. S. Nitol, D. Dickel, and C. Barrett, “Machine learning models for predictive materials science from fundamental physics: An application to titanium and zirconium,” Acta Materialia. 2021. link Times cited: 12 NOT USED (low confidence) S. Oh, J.-S. Kim, C. S. Park, and B.-J. Lee, “Second nearest-neighbor modified embedded-atom method interatomic potentials for the Mo-M (M = Al, Co, Cr, Fe, Ni, Ti) binary alloy systems,” Computational Materials Science. 2021. link Times cited: 5 NOT USED (low confidence) X.-song Huang et al., “Atomistic simulation of chemical short-range order in HfNbTaZr high entropy alloy based on a newly-developed interatomic potential,” Materials & Design. 2021. link Times cited: 55 NOT USED (low confidence) J. Wang and B.-J. Lee, “Second-nearest-neighbor modified embedded-atom method interatomic potential for V-M (M = Cu, Mo, Ti) binary systems,” Computational Materials Science. 2020. link Times cited: 10 NOT USED (low confidence) A. S. M. Miraz, N. Dhariwal, W. Meng, B. Ramachandran, and C. Wick, “Development and application of interatomic potentials to study the stability and shear strength of Ti/TiN and Cu/TiN interfaces,” Materials & Design. 2020. link Times cited: 15 NOT USED (low confidence) S. A. Etesami, M. Laradji, and E. Asadi, “Reliability of molecular dynamics interatomic potentials for modeling of titanium in additive manufacturing processes,” Computational Materials Science. 2020. link Times cited: 5 NOT USED (low confidence) S. Oh, D. Seol, and B.-J. Lee, “Second nearest-neighbor modified embedded-atom method interatomic potentials for the Co-M (M = Ti, V) binary systems,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2020. link Times cited: 10 NOT USED (low confidence) C. Cheng et al., “Development and application of EAM potentials for Ti, Al and Nb with enhanced planar fault energy of Ti,” Computational Materials Science. 2020. link Times cited: 4 NOT USED (low confidence) S. Ding and X.-qiang Wang, “A systematic study on the MEAM interatomic potentials of the transition metal nitrides TMNs (TM=Ti, V, Cr, Fe) binary systems,” Journal of Alloys and Compounds. 2019. link Times cited: 10 NOT USED (low confidence) A. Kartamyshev, A. Lipnitskii, V. Saveliev, V. Maksimenko, I. Nelasov, and D. Poletaev, “Development of an interatomic potential for titanium with high predictive accuracy of thermal properties up to melting point,” Computational Materials Science. 2019. link Times cited: 8 NOT USED (low confidence) C.-K. Li, S. Liu, and F.-S. Zhang, “Chemical effect on the energy lose for slow ion channeling a narrow band gap semiconductor,” Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2019. link Times cited: 1 NOT USED (low confidence) S. A. Etesami, M. Laradji, and E. Asadi, “Transferability of interatomic potentials in predicting the temperature dependency of elastic constants for titanium, zirconium and magnesium,” Modelling and Simulation in Materials Science and Engineering. 2019. link Times cited: 4 Abstract: We present our investigation of the current state of the art… read more NOT USED (low confidence) G.-U. Jeong, C. S. Park, H.-S. Do, S.-M. Park, and B.-J. Lee, “Second nearest-neighbor modified embedded-atom method interatomic potentials for the Pd-M (M = Al, Co, Cu, Fe, Mo, Ni, Ti) binary systems,” Calphad. 2018. link Times cited: 12 NOT USED (low confidence) E. Y. Kulyamina, V. Zitserman, and L. Fokin, “Titanium Melting Curve: Data Consistency Assessment, Problems and Achievements,” Technical Physics. 2018. link Times cited: 5 NOT USED (low confidence) J.-S. Kim, D. Seol, J. Ji, H.-S. Jang, Y. Kim, and B.-J. Lee, “Second nearest-neighbor modified embedded-atom method interatomic potentials for the Pt-M (M = Al, Co, Cu, Mo, Ni, Ti, V) binary systems,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2017. link Times cited: 31 NOT USED (low confidence) C. Barrett, H. Kadiri, and R. Moser, “Generalized interfacial fault energies,” International Journal of Solids and Structures. 2017. link Times cited: 9 NOT USED (low confidence) J. Pencer, E. Torres, J. Alexander, and D. Radford, “Applicability of 2NN-MEAM potentials in the prediction of temperature and oxygen-dependent elastic properties of titanium,” Computational Materials Science. 2016. link Times cited: 4 NOT USED (low confidence) W. Dong, Z. Chen, and B.-J. Lee, “Modified embedded-atom interatomic potential for Co–W and Al–W systems,” Transactions of Nonferrous Metals Society of China. 2015. link Times cited: 9 NOT USED (low confidence) S. Groh, “Mechanical, thermal, and physical properties of Mg-Ca compounds in the framework of the modified embedded-atom method.,” Journal of the mechanical behavior of biomedical materials. 2015. link Times cited: 16 NOT USED (low confidence) B.-M. Lee, J. Shim, J.-Y. Suh, and B.-J. Lee, “A semi-empirical methodology to predict hydrogen permeability in amorphous alloy membranes,” Journal of Membrane Science. 2014. link Times cited: 4 NOT USED (low confidence) E. Podolskaya and A. Krivtsov, “Description of the geometry of crystals with a hexagonal close-packed structure based on pair interaction potentials,” Physics of the Solid State. 2012. link Times cited: 8 NOT USED (low confidence) R. Neugebauer, R. Wertheim, and U. Semmler, “THE ATOMIC FINITE ELEMENT METHOD AS A BRIDGE BETWEEN MOLECULAR DYNAMICS AND CONTINUUM MECHANICS,” Journal of Multiscale Modelling. 2011. link Times cited: 6 Abstract: On cutting tools for high performance cutting (HPC) processe… read more NOT USED (low confidence) B.-J. Lee, W. Ko, H.-K. Kim, and E.-H. Kim, “The modified embedded-atom method interatomic potentials and recent progress in atomistic simulations,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2010. link Times cited: 137 NOT USED (low confidence) G. Grochola, S. Russo, and I. Snook, “A modified embedded atom method interatomic potential for alloy SiGe,” Chemical Physics Letters. 2010. link Times cited: 5 NOT USED (low confidence) H. Yu and F.-jiu Sun, “A modified embedded atom method interatomic potential for the Ti―N system,” Physica B-condensed Matter. 2009. link Times cited: 10 NOT USED (low confidence) J. Li, Y. Dai, X. Dai, T. Wang, and B. Liu, “Development of n-body potentials for hcp–bcc and fcc–bcc binary transition metal systems,” Computational Materials Science. 2008. link Times cited: 20 NOT USED (low confidence) E.-H. Kim, Y.-H. Shin, and B.-J. Lee, “A modified embedded-atom method interatomic potential for Germanium,” Calphad-computer Coupling of Phase Diagrams and Thermochemistry. 2008. link Times cited: 86 NOT USED (low confidence) R. Hennig, T. Lenosky, D. Trinkle, S. Rudin, and J. Wilkins, “Classical potential describes martensitic phase transformations between the α, β, and ω titanium phases,” Physical Review B. 2007. link Times cited: 160 Abstract: A description of the martensitic transformations between the… read more NOT USED (low confidence) Y.-M. Kim and B.-J. Lee, “A modified embedded-atom method interatomic potential for the Cu–Zr system,” Journal of Materials Research. 2004. link Times cited: 65 NOT USED (low confidence) Y.-M. Kim, Y.-H. Shin, and B.-J. Lee, “Modified embedded-atom method interatomic potentials for pure Mn and the Fe–Mn system,” Acta Materialia. 2009. link Times cited: 64 NOT USED (high confidence) K. Gubaev, V. Zaverkin, P. Srinivasan, A. Duff, J. Kästner, and B. Grabowski, “Performance of two complementary machine-learned potentials in modelling chemically complex systems,” npj Computational Materials. 2023. link Times cited: 1 NOT USED (high confidence) T. Wen et al., “Atomistic Modelling of All Dislocations and Twins in HCP and BCC Ti,” SSRN Electronic Journal. 2022. link Times cited: 0 Abstract: Ti exhibits complex plastic deformation controlled by active… read more NOT USED (high confidence) T. Wen et al., “Specialising neural network potentials for accurate properties and application to the mechanical response of titanium,” npj Computational Materials. 2021. link Times cited: 27 NOT USED (high confidence) S. Ding, Y. Li, Y. Luo, Z. Wu, and X. Wang, “Modified Embedded-Atom Interatomic Potential Parameters of the Ti–Cr Binary and Ti–Cr–N Ternary Systems,” Frontiers in Chemistry. 2021. link Times cited: 1 Abstract: The second nearest-neighbor modified embedded-atom method (2… read more NOT USED (high confidence) S. Becker, E. Devijver, R. Molinier, and N. Jakse, “Glass-forming ability of elemental zirconium,” Physical Review B. 2020. link Times cited: 7 Abstract: We report large-scale molecular dynamics simulations of the … read more NOT USED (high confidence) J. Kundu, A. Chakraborty, and S. Kundu, “Bonding pressure effects on characteristics of microstructure, mechanical properties, and mass diffusivity of Ti-6Al-4V and TiAlNb diffusion-bonded joints,” Welding in the World. 2020. link Times cited: 3 NOT USED (high confidence) A. Kartamyshev et al., “Angular dependent interatomic potential for Ti–V system for molecular dynamics simulations,” Modelling and Simulation in Materials Science and Engineering. 2020. link Times cited: 7 Abstract: An interatomic potential for the Ti–V binary alloy focusing … read more NOT USED (high confidence) M. Zacate, “Modified embedded-atom method potential for cadmium,” Hyperfine Interactions. 2019. link Times cited: 0 NOT USED (high confidence) P. Srinivasan, A. Duff, T. Mellan, M. Sluiter, L. Nicola, and A. Simone, “The effectiveness of reference-free modified embedded atom method potentials demonstrated for NiTi and NbMoTaW,” Modelling and Simulation in Materials Science and Engineering. 2019. link Times cited: 15 Abstract: One of the effective potentials that has proven to be very v… read more NOT USED (high confidence) G. Almyras, D. Sangiovanni, and K. Sarakinos, “Semi-Empirical Force-Field Model for the Ti1−xAlxN (0 ≤ x ≤ 1) System,” Materials. 2019. link Times cited: 21 Abstract: We present a modified embedded atom method (MEAM) semi-empir… read more NOT USED (high confidence) H. Zong, G. Pilania, X. Ding, G. Ackland, and T. Lookman, “Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning,” npj Computational Materials. 2018. link Times cited: 78 NOT USED (high confidence) D. Dickel, C. Barrett, R. Cariño, M. Baskes, and M. Horstemeyer, “Mechanical instabilities in the modeling of phase transitions of titanium,” Modelling and Simulation in Materials Science and Engineering. 2018. link Times cited: 16 Abstract: In this paper, we demonstrate that previously observed β to … read more NOT USED (high confidence) L. N. Abdulkadir, K. Abou-El-Hossein, A. I. Jumare, M. Liman, T. A. Olaniyan, and P. B. Odedeyi, “Review of molecular dynamics/experimental study of diamond-silicon behavior in nanoscale machining,” The International Journal of Advanced Manufacturing Technology. 2018. link Times cited: 38 NOT USED (high confidence) L. N. Abdulkadir, K. Abou-El-Hossein, A. I. Jumare, M. Liman, T. A. Olaniyan, and P. B. Odedeyi, “Review of molecular dynamics/experimental study of diamond-silicon behavior in nanoscale machining,” The International Journal of Advanced Manufacturing Technology. 2018. link Times cited: 0 NOT USED (high confidence) Y. Ouyang et al., “An interatomic potential for simulation of defects and phase change of zirconium,” Computational Materials Science. 2018. link Times cited: 6 NOT USED (high confidence) S. Sun, B. Ramachandran, and C. Wick, “Solid, liquid, and interfacial properties of TiAl alloys: parameterization of a new modified embedded atom method model,” Journal of Physics: Condensed Matter. 2018. link Times cited: 11 Abstract: New interatomic potentials for pure Ti and Al, and binary Ti… read more NOT USED (high confidence) T. Fu et al., “In-plane anisotropy and twin boundary effects in vanadium nitride under nanoindentation,” Scientific Reports. 2017. link Times cited: 24 NOT USED (high confidence) M. Zacate, “Indium-defect interactions in FCC and BCC metals studied using the modified embedded atom method,” Hyperfine Interactions. 2016. link Times cited: 1 NOT USED (high confidence) S. Winczewski, J. Dziedzic, and J. Rybicki, “Central-force decomposition of spline-based modified embedded atom method potential,” Modelling and Simulation in Materials Science and Engineering. 2016. link Times cited: 0 Abstract: Central-force decompositions are fundamental to the calculat… read more NOT USED (high confidence) B. Narayanan et al., “Development of a Modified Embedded Atom Force Field for Zirconium Nitride Using Multi-Objective Evolutionary Optimization,” Journal of Physical Chemistry C. 2016. link Times cited: 23 Abstract: Zirconium nitride (ZrN) exhibits exceptional mechanical, che… read more NOT USED (high confidence) G. Sushko, A. Verkhovtsev, C. Kexel, A. Korol, S. Schramm, and A. Solov’yov, “Reconciling simulated melting and ground-state properties of metals with a modified embedded-atom method potential,” Journal of Physics: Condensed Matter. 2016. link Times cited: 9 Abstract: We propose a modification of the embedded-atom method-type p… read more NOT USED (high confidence) Y.-K. Kim, W. Jung, and B.-J. Lee, “Modified embedded-atom method interatomic potentials for the Ni–Co binary and the Ni–Al–Co ternary systems,” Modelling and Simulation in Materials Science and Engineering. 2015. link Times cited: 32 Abstract: Interatomic potentials for the Ni–Co binary and Ni–Al–Co ter… read more NOT USED (high confidence) S. Groh and M. Alam, “Fracture behavior of lithium single crystal in the framework of (semi-)empirical force field derived from first-principles,” Modelling and Simulation in Materials Science and Engineering. 2015. link Times cited: 11 Abstract: An approach to derive, from first-principles data, accurate … read more NOT USED (high confidence) G. Sushko, A. Verkhovtsev, A. Yakubovich, S. Schramm, and A. Solov’yov, “Molecular dynamics simulation of self-diffusion processes in titanium in bulk material, on grain junctions and on surface.,” The journal of physical chemistry. A. 2014. link Times cited: 16 Abstract: The process of self-diffusion of titanium atoms in a bulk ma… read more NOT USED (high confidence) B.-M. Lee and B.-J. Lee, “A Comparative Study on Hydrogen Diffusion in Amorphous and Crystalline Metals Using a Molecular Dynamics Simulation,” Metallurgical and Materials Transactions A. 2014. link Times cited: 35 NOT USED (high confidence) W. Ko and B.-J. Lee, “Modified embedded-atom method interatomic potentials for pure Y and the V–Pd–Y ternary system,” Modelling and Simulation in Materials Science and Engineering. 2013. link Times cited: 20 Abstract: Interatomic potentials for pure Y and the V–Pd–Y ternary sys… read more NOT USED (high confidence) J.-Q. Ren, Q. Sun, L. Xiao, X. Ding, and J. Sun, “Molecular dynamics simulations of the size effect of titanium single-crystal nanopillars orientated for double prismatic slips,” Philosophical Magazine Letters. 2013. link Times cited: 9 Abstract: An inverse “smaller is stronger” trend is predicted on the b… read more NOT USED (high confidence) J. Chun and B. Lee, “Atomistic calculations of mechanical properties of Ni-Ti-C metallic glass systems,” Journal of Mechanical Science and Technology. 2013. link Times cited: 3 NOT USED (high confidence) J. Chun and B. Lee, “Atomistic calculations of mechanical properties of Ni-Ti-C metallic glass systems,” Journal of Mechanical Science and Technology. 2013. link Times cited: 0 NOT USED (high confidence) H. Park et al., “Ab initio based empirical potential used to study the mechanical properties of molybdenum,” Physical Review B. 2012. link Times cited: 70 Abstract: Density-functional theory energies, forces, and elastic cons… read more NOT USED (high confidence) H. Wang, S. J. Yang, and B. Wei, “Density and structure of undercooled liquid titanium,” Chinese Science Bulletin. 2012. link Times cited: 19 NOT USED (high confidence) B.-M. Lee and B.-J. Lee, “Probing the hydrogen movement in Zr-Cu amorphous alloys using molecular dynamics simulations,” 2011 IEEE Nanotechnology Materials and Devices Conference. 2011. link Times cited: 0 Abstract: Zr-based amorphous alloys, showing hydrogen permeance compar… read more NOT USED (high confidence) J. Harvey, A. Gheribi, and P. Chartrand, “Accurate determination of the Gibbs energy of Cu-Zr melts using the thermodynamic integration method in Monte Carlo simulations.,” The Journal of chemical physics. 2011. link Times cited: 19 Abstract: The design of multicomponent alloys used in different applic… read more NOT USED (high confidence) X.-J. Yuan, N. Chen, J. Shen, and W. Hu, “Embedded-atom-method interatomic potentials from lattice inversion,” Journal of Physics: Condensed Matter. 2010. link Times cited: 26 Abstract: The present work develops a physically reliable procedure fo… read more NOT USED (high confidence) Y. Mishin, M. Asta, and J. Li, “Atomistic modeling of interfaces and their impact on microstructure and properties,” Acta Materialia. 2010. link Times cited: 418 NOT USED (high confidence) B.-J. Lee, “A Semi-Empirical Atomistic Approach in Materials Research,” Journal of Phase Equilibria and Diffusion. 2009. link Times cited: 3 NOT USED (high confidence) E. C. Do, Y.-H. Shin, and B.-J. Lee, “Atomistic modeling of III–V nitrides: modified embedded-atom method interatomic potentials for GaN, InN and Ga1−xInxN,” Journal of Physics: Condensed Matter. 2009. link Times cited: 26 Abstract: Modified embedded-atom method (MEAM) interatomic potentials … read more NOT USED (high confidence) H. Wang and B. Wei, “Thermophysical property of undercooled liquid binary alloy composed of metallic and semiconductor elements,” Journal of Physics D: Applied Physics. 2009. link Times cited: 6 Abstract: The thermophysical properties of the liquid Ni–Si binary all… read more NOT USED (high confidence) A. Moitra et al., “Melting tungsten nanoparticles: a molecular dynamics study,” Journal of Physics D: Applied Physics. 2007. link Times cited: 33 Abstract: We report a molecular dynamics simulation of melting of tung… read more NOT USED (high confidence) Y.-hua Zhou, A. L. Lloyd, R. Smith, and S. Kenny, “Modelling thin film growth in the Ag–Ti system,” Surface Science. 2019. link Times cited: 2 NOT USED (high confidence) S. Rawat and N. Mitra, “Molecular dynamics investigation of c-axis deformation of single crystal Ti under uniaxial stress conditions: Evolution of compression twinning and dislocations,” Computational Materials Science. 2018. link Times cited: 28 NOT USED (high confidence) S. Rawat and N. Mitra, “Compression twinning and structural phase transformation of single crystal titanium under uniaxial compressive strain conditions: Comparison of inter-atomic potentials,” Computational Materials Science. 2017. link Times cited: 29 NOT USED (high confidence) N. Razmara and R. Mohammadzadeh, “Molecular dynamics study of nitrogen diffusion in nanocrystalline iron,” Journal of Molecular Modeling. 2016. link Times cited: 6 NOT USED (high confidence) J. S. Gibson, S. G. Srinivasan, M. Baskes, R. E. Miller, and A. K. Wilson, “A multi-state modified embedded atom method potential for titanium,” Modelling and Simulation in Materials Science and Engineering. 2016. link Times cited: 3 Abstract: The continuing search for broadly applicable, predictive, an… read more NOT USED (high confidence) W. Joost, S. Ankem, and M. Kuklja, “A modified embedded atom method potential for the titanium–oxygen system,” Modelling and Simulation in Materials Science and Engineering. 2014. link Times cited: 16 Abstract: Small concentrations of impurity atoms can affect the behavi… read more |
Funding |
Funder: Ministry of Science and Technology of Korea Funder: Basic Energy Sciences |
Short KIM ID
The unique KIM identifier code.
| MO_392493010449_001 |
Extended KIM ID
The long form of the KIM ID including a human readable prefix (100 characters max), two underscores, and the Short KIM ID. Extended KIM IDs can only contain alpha-numeric characters (letters and digits) and underscores and must begin with a letter.
| MEAM_LAMMPS_KimLeeBaskes_2006_Zr__MO_392493010449_001 |
DOI |
10.25950/b92b9944 https://doi.org/10.25950/b92b9944 https://commons.datacite.org/doi.org/10.25950/b92b9944 |
KIM Item Type
Specifies whether this is a Portable Model (software implementation of an interatomic model); Portable Model with parameter file (parameter file to be read in by a Model Driver); Model Driver (software implementation of an interatomic model that reads in parameters).
| Portable Model using Model Driver MEAM_LAMMPS__MD_249792265679_002 |
Driver | MEAM_LAMMPS__MD_249792265679_002 |
KIM API Version | 2.2 |
Potential Type | meam |
Previous Version | MEAM_LAMMPS_KimLeeBaskes_2006_Zr__MO_392493010449_000 |
Grade | Name | Category | Brief Description | Full Results | Aux File(s) |
---|---|---|---|---|---|
P | vc-species-supported-as-stated | mandatory | The model supports all species it claims to support; see full description. |
Results | Files |
P | vc-periodicity-support | mandatory | Periodic boundary conditions are handled correctly; see full description. |
Results | Files |
P | vc-permutation-symmetry | mandatory | Total energy and forces are unchanged when swapping atoms of the same species; see full description. |
Results | Files |
A | vc-forces-numerical-derivative | consistency | Forces computed by the model agree with numerical derivatives of the energy; see full description. |
Results | Files |
F | vc-dimer-continuity-c1 | informational | The energy versus separation relation of a pair of atoms is C1 continuous (i.e. the function and its first derivative are continuous); see full description. |
Results | Files |
P | vc-objectivity | informational | Total energy is unchanged and forces transform correctly under rigid-body translation and rotation; see full description. |
Results | Files |
P | vc-inversion-symmetry | informational | Total energy is unchanged and forces change sign when inverting a configuration through the origin; see full description. |
Results | Files |
P | vc-memory-leak | informational | The model code does not have memory leaks (i.e. it releases all allocated memory at the end); see full description. |
Results | Files |
P | vc-thread-safe | mandatory | The model returns the same energy and forces when computed in serial and when using parallel threads for a set of configurations. Note that this is not a guarantee of thread safety; see full description. |
Results | Files |
P | vc-unit-conversion | mandatory | The model is able to correctly convert its energy and/or forces to different unit sets; see full description. |
Results | Files |
This bar chart plot shows the mono-atomic body-centered cubic (bcc) lattice constant predicted by the current model (shown in the unique color) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
This graph shows the cohesive energy versus volume-per-atom for the current mode for four mono-atomic cubic phases (body-centered cubic (bcc), face-centered cubic (fcc), simple cubic (sc), and diamond). The curve with the lowest minimum is the ground state of the crystal if stable. (The crystal structure is enforced in these calculations, so the phase may not be stable.) Graphs are generated for each species supported by the model.
This bar chart plot shows the mono-atomic face-centered diamond lattice constant predicted by the current model (shown in the unique color) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
This graph shows the dislocation core energy of a cubic crystal at zero temperature and pressure for a specific set of dislocation core cutoff radii. After obtaining the total energy of the system from conjugate gradient minimizations, non-singular, isotropic and anisotropic elasticity are applied to obtain the dislocation core energy for each of these supercells with different dipole distances. Graphs are generated for each species supported by the model.
(No matching species)This bar chart plot shows the mono-atomic face-centered cubic (fcc) elastic constants predicted by the current model (shown in blue) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
This bar chart plot shows the mono-atomic face-centered cubic (fcc) lattice constant predicted by the current model (shown in red) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
This bar chart plot shows the intrinsic and extrinsic stacking fault energies as well as the unstable stacking and unstable twinning energies for face-centered cubic (fcc) predicted by the current model (shown in blue) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
(No matching species)This bar chart plot shows the mono-atomic face-centered cubic (fcc) relaxed surface energies predicted by the current model (shown in blue) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
(No matching species)This bar chart plot shows the mono-atomic simple cubic (sc) lattice constant predicted by the current model (shown in the unique color) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Cohesive energy versus lattice constant curve for bcc Zr v004 | view | 3223 | |
Cohesive energy versus lattice constant curve for diamond Zr v004 | view | 3382 | |
Cohesive energy versus lattice constant curve for fcc Zr v004 | view | 2798 | |
Cohesive energy versus lattice constant curve for sc Zr v004 | view | 2945 |
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Elastic constants for bcc Zr at zero temperature v006 | view | 28712 | |
Elastic constants for fcc Zr at zero temperature v006 | view | 41154 | |
Elastic constants for sc Zr at zero temperature v006 | view | 29375 |
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Equilibrium crystal structure and energy for Zr in AFLOW crystal prototype A_cF4_225_a v003 | view | 159920 | |
Equilibrium crystal structure and energy for Zr in AFLOW crystal prototype A_cI2_229_a v003 | view | 128872 | |
Equilibrium crystal structure and energy for Zr in AFLOW crystal prototype A_hP2_194_c v003 | view | 147161 |
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Equilibrium zero-temperature lattice constant for bcc Zr v007 | view | 8802 | |
Equilibrium zero-temperature lattice constant for diamond Zr v007 | view | 6479 | |
Equilibrium zero-temperature lattice constant for fcc Zr v007 | view | 14798 | |
Equilibrium zero-temperature lattice constant for sc Zr v007 | view | 9276 |
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Equilibrium lattice constants for hcp Zr v005 | view | 50430 |
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Monovacancy formation energy and relaxation volume for hcp Zr | view | 442091 |
Test | Test Results | Link to Test Results page | Benchmark time
Usertime multiplied by the Whetstone Benchmark. This number can be used (approximately) to compare the performance of different models independently of the architecture on which the test was run.
Measured in Millions of Whetstone Instructions (MWI) |
---|---|---|---|
Vacancy formation and migration energy for hcp Zr | view | 4158748 |
Test | Error Categories | Link to Error page |
---|---|---|
Elastic constants for diamond Zr at zero temperature v001 | other | view |
Test | Error Categories | Link to Error page |
---|---|---|
Elastic constants for hcp Zr at zero temperature v004 | other | view |
MEAM_LAMMPS_KimLeeBaskes_2006_Zr__MO_392493010449_001.txz | Tar+XZ | Linux and OS X archive |
MEAM_LAMMPS_KimLeeBaskes_2006_Zr__MO_392493010449_001.zip | Zip | Windows archive |
This Model requires a Model Driver. Archives for the Model Driver MEAM_LAMMPS__MD_249792265679_002 appear below.
MEAM_LAMMPS__MD_249792265679_002.txz | Tar+XZ | Linux and OS X archive |
MEAM_LAMMPS__MD_249792265679_002.zip | Zip | Windows archive |