Title
A single sentence description.
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EAM potential (LAMMPS cubic hermite tabulation) for Ti (parameter set 3) developed by Mendelev, Underwood, and Ackland (2016) v000 |
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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 the third (potential 3) of three interatomic potentials describing defects, plasticity, and high temperature phase transitions for Ti. This parameter set correctly describes defect properties and can be used to simulate plasticity or radiation damage in hcp Ti. It was fitted to point defect formation energies at T=1100 K for hcp, and 1100 K for bcc. |
Species
The supported atomic species.
| Ti |
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/2016--Mendelev-M-I-Underwood-T-L-Ackland-G-J--Ti-3/ |
Contributor |
I Nikiforov |
Maintainer |
I Nikiforov |
Developer |
Mikhail I. Mendelev Tom L. Underwood Graeme J. Ackland |
Published on KIM | 2022 |
How to Cite | Click here to download this 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. ![]() 114 Citations (61 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) M. Wang, Y. Zeng, Y. Chen, and S. Zhang, “Crystal structure effect on metallic mechanical properties of under tension stress: molecular dynamics study,” 22nd International Scientific Conference Engineering for Rural Development Proceedings. 2023. link Times cited: 0 Abstract: In the paper, the tensile mechanical properties and deformat… read more USED (high confidence) A. Shugurov, A. Nikonov, and A. Dmitriev, “THE EFFECT OF ELECTRON-BEAM TREATMENT ON THE DEFORMATION BEHAVIOR OF THE EBAM TI-6AL-4V UNDER SCRATCHING,” Facta Universitatis, Series: Mechanical Engineering. 2022. link Times cited: 1 Abstract: The effect of the continuous electron beam scanning (CEBS) p… read more USED (high confidence) S. Menon, Y. Lysogorskiy, J. Rogal, and R. Drautz, “Automated free-energy calculation from atomistic simulations,” Physical Review Materials. 2021. link Times cited: 5 Abstract: We devise automated workflows for the calculation of Helmhol… read more USED (high confidence) A. H. Zahiri, J. Ombogo, T. Ma, P. Chakraborty, and L. Cao, “Transformation-induced plasticity in omega titanium,” Journal of Applied Physics. 2021. link Times cited: 6 Abstract: ω-titanium (Ti) is a high-pressure phase that is conventiona… read more USED (high confidence) A. Shugurov, A. Panin, A. Dmitriev, and A. Nikonov, “Recovery of Scratch Grooves in Ti-6Al-4V Alloy Caused by Reversible Phase Transformations,” Metals. 2020. link Times cited: 7 Abstract: The deformation behaviors of Ti-6Al-4V alloy samples with la… read more USED (high confidence) P. Chirkov, R. M. Kichigin, A. Karavaev, and V. Dremov, “Direct atomistic simulations of metastable state destruction in titanium (β-α martensitic transition) caused by external influences,” EPJ Web of Conferences. 2021. link Times cited: 0 Abstract: Large-scale classical molecular dynamics (CMD) is utilized t… read more USED (low confidence) T. He, X. Li, Y. Qi, M. Zhao, and M. Feng, “Molecular dynamics simulation of primary irradiation damage in Ti-6Al-4V alloys,” Nuclear Engineering and Technology. 2023. link Times cited: 0 USED (low confidence) X. Guo et al., “Effects of He-ion irradiation on microstructures of low activation Ti-Ta-V alloy from atomic simulations and irradiation experiments,” Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2023. link Times cited: 0 USED (low confidence) P. Wang et al., “Molecular dynamic simulations of the martensitic transformation for the dual-phase structure and dislocation activities in Ti80 alloys,” Mechanics of Materials. 2023. link Times cited: 0 USED (low confidence) Z. Yan, J. Zhao, R. Liu, B. Liu, Y.-lin Shao, and M. Liu, “An insight into sintering mechanisms of silicon carbide nanoparticles with additives using MD simulation,” Powder Technology. 2023. link Times cited: 0 USED (low confidence) J.-Y. Zhang et al., “Dislocation-mediated migration of the α/β interfaces in titanium,” Acta Materialia. 2023. link Times cited: 0 USED (low confidence) L. Fu, G. Wu, J. Qiao, J. Qian, R. Pan, and Y. Zhou, “Exploring the evolutionary behavior of grain boundaries in Titanium induced by temperature fluctuations using a combination of molecular dynamics simulations and experiments,” Materials Today Communications. 2023. link Times cited: 0 USED (low confidence) I. Ivanov, J. J. G. Moreno, K. Emurlaev, D. Lazurenko, and I. Bataev, “Anomalous Growth of Dislocation Density in Titanium During Recovery,” AMI: Scripta Materialia. 2023. link Times cited: 1 Abstract: It is generally believed, that the dislocation density in co… read more USED (low confidence) M. P. Hazarika, A. Tripathi, and S. N. Chakraborty, “Two-temperature molecular dynamics simulation study of copper thin film irradiation with femtosecond and picosecond laser pulses,” Journal of Laser Applications. 2023. link Times cited: 0 Abstract: Metal targets irradiated with laser pulses have a wide range… read more 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) W. Li, Q. Xu, Y. Yin, J. Zhou, and H. Nan, “Research on pore closure behavior and microstructure evolution during hot isostatic pressing of Ti6Al4V alloy casting,” Journal of Materials Research and Technology. 2023. link Times cited: 2 USED (low confidence) Y. Gao et al., “Investigation of the atomic-level microstructural evolution of quadruple-fused α/β titanium particles during sintering,” Journal of Molecular Liquids. 2023. link Times cited: 0 USED (low confidence) Y. He, G. Xiao, S. Zhu, G. Liu, Z. Liu, and Z. Deng, “Surface formation in laser-assisted grinding high-strength alloys,” International Journal of Machine Tools and Manufacture. 2023. link Times cited: 27 USED (low confidence) A. Xu, Q. Zu, S. Wu, B. Yang, L. Zhao, and N. Hu, “Atomistic study of internal stress effect on scratching behavior in titanium single crystal,” Journal of Materials Research and Technology. 2023. link Times cited: 0 USED (low confidence) S. Homann, H. Luu, and N. M. (née Gunkelmann), “Molecular dynamics simulations of the machining of oxidized and deoxidized titanium work pieces,” Results in Surfaces and Interfaces. 2022. link Times cited: 0 USED (low confidence) A. H. Zahiri, E. Vitral, J. Ombogo, M. Lotfpour, and L. Cao, “The role of mechanical loading in bcc-hcp phase transition: tension-compression asymmetry and twin formation,” Acta Materialia. 2022. link Times cited: 2 USED (low confidence) M. G. Urazaliev, M. E. Stupak, and V. Popov, “An Atomistic Simulation of Special Tilt Boundaries in α-Ti: Structure, Energy, Point Defects, and Grain-Boundary Self-Diffusion,” Physics of Metals and Metallography. 2022. link Times cited: 0 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) H. He, S. Ma, and S. Wang, “Survey of Grain Boundary Energies in Tungsten and Beta-Titanium at High Temperature,” Materials. 2021. link Times cited: 1 Abstract: Heat treatment is a necessary means to obtain desired proper… read more 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) A. Panin et al., “The effect of ultrasonic impact treatment on deformation and fracture of electron beam additive manufactured Ti-6Al-4V under uniaxial tension,” Materials Science and Engineering: A. 2021. link Times cited: 6 USED (low confidence) H. He, S. Ma, and S. Wang, “Molecular dynamics investigation on tilt grain boundary energies of beta-titanium and tungsten at high temperature,” Materials Research Express. 2021. link Times cited: 2 Abstract: The grain boundary energies (GBEs) of symmetric tilt grain b… read more 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. Zhang, J.-Y. Zhang, and W.-Z. Zhang, “A study of crystallography of α precipitates in a Ti-8 wt% Fe alloy,” Materials Characterization. 2021. link Times cited: 3 USED (low confidence) T. Ma et al., “Effect of strain rate on microscale formability and microstructural evolution of TA1 foil,” Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. 2021. link Times cited: 2 USED (low confidence) L. Chang, C.-yu Zhou, and X.-hua He, “Atomic scale insights into the fracture behavior along 〈12-10〉 and 〈101-0〉 oriented twin boundaries in titanium,” Materials Letters. 2021. link Times cited: 1 USED (low confidence) Y. Sun, F. Zhang, M. Mendelev, R. Wentzcovitch, and K. Ho, “Two-step nucleation of the Earth’s inner core,” Proceedings of the National Academy of Sciences of the United States of America. 2021. link Times cited: 17 Abstract: Significance Understanding the formation of the Earth’s inne… read more USED (low confidence) J.-Y. Zhang, F. Z. Dai, Z. Sun, and W.-Z. Zhang, “Structures and energetics of semicoherent interfaces of precipitates in hcp/bcc systems: A molecular dynamics study,” Journal of Materials Science & Technology. 2021. link Times cited: 11 USED (low confidence) S. Wang, K. Dang, R. Mccabe, L. Capolungo, and C. Tomé, “Three-dimensional atomic scale characterization of 112¯2 twin boundaries in titanium,” Acta Materialia. 2021. link Times cited: 19 USED (low confidence) A. Dmitriev, A. Nikonov, A. Shugurov, and A. Panin, “Molecular dynamics study of dislocation-twin boundary interaction in titanium subjected to scratching,” Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. 2021. link Times cited: 8 USED (low confidence) M. G. Urazaliev, M. E. Stupak, and V. Popov, “The high-angle grain boundaries of BCC titanium: Structure, energy, width of special boundaries. Molecular dynamics simulation.” 2020. link Times cited: 0 Abstract: Calculations of structure and energy of symmetrical tilt bou… read more USED (low confidence) H. Zhang, X. Ou, S. Ni, and M. Song, “Toughening alpha-Ti by dislocation-induced phase transformation at crack tips,” Mechanics of Materials. 2020. link Times cited: 7 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) J. Jiang, X. Zhang, F. Ma, S. Dong, W. Yang, and M. Wu, “Molecular dynamics simulation of the crystal structure evolution of titanium under different Tdamp values and heating/cooling rates,” Chemical Physics Letters. 2020. link Times cited: 2 USED (low confidence) A. B. Patel and H. Sheng, “Structure and atomic transport of liquid titanium from a pair potential model,” Physical Review B. 2020. link Times cited: 1 USED (low confidence) D. Hu, J. Pan, J. Mao, X. Guo, H. Ji, and R. Wang, “An anisotropic mesoscale model of fatigue failure in a titanium alloy containing duplex microstructure and hard α inclusions,” Materials & Design. 2020. link Times cited: 8 USED (low confidence) K. Benensky, K. Terrani, and S. Zinkle, “Observed volatilization behavior of silicon carbide in flowing hydrogen above 2000 K,” Journal of the American Ceramic Society. 2020. link Times cited: 1 USED (low confidence) L. Wang, L. Hu, J. Zhao, and B. Wei, “Ultrafast growth kinetics of titanium dendrites investigated by electrostatic levitation experiments and molecular dynamics simulations,” Chemical Physics Letters. 2020. link Times cited: 3 USED (low confidence) V. Sirotkin, “Molecular-Dynamics Simulation of the Interaction of Argon Cluster Ions with Titanium Surface,” Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques. 2020. link Times cited: 3 USED (low confidence) C. Dai, P. Saidi, L. Béland, Z. Yao, and M. Daymond, “Asymmetrical response of edge pyramidal dislocations in HCP zirconium under tension and compression: A molecular dynamics study,” Computational Materials Science. 2019. link Times cited: 7 USED (low confidence) A. Dmitriev, A. Nikonov, and A. Shugurov, “MD study of scratching-induced deformation in nanosized polycrystalline titanium with coherent and incoherent twins boundaries,” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS WITH HIERARCHICAL STRUCTURE FOR NEW TECHNOLOGIES AND RELIABLE STRUCTURES 2019. 2019. link Times cited: 0 Abstract: The article describes the results of molecular dynamics mode… read more USED (low confidence) A. Dmitriev, A. Nikonov, A. Shugurov, and A. Panin, “The Role of Grain Boundaries in Rotational Deformation in Polycrystalline Titanium under Scratch Testing,” Physical Mesomechanics. 2019. link Times cited: 14 USED (low confidence) C. Dai, P. Saidi, Z. Yao, L. Béland, and M. Daymond, “Deformation-free nanotwin formation in zirconium and titanium,” Materials Letters. 2019. link Times cited: 8 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) A. Dmitriev, A. Nikonov, A. Shugurov, and A. Panin, “Numerical study of atomic scale deformation mechanisms of Ti grains with different crystallographic orientation subjected to scratch testing,” Applied Surface Science. 2019. link Times cited: 34 USED (low confidence) E. Martínez, L. Capolungo, and C. Tomé, “Atomistic analysis of the
101¯2
twin stability and growth in
α
-Ti,” Physical Review Materials. 2018. link Times cited: 4 USED (low confidence) A. Shugurov, A. Panin, A. Dmitriev, and A. Nikonov, “The effect of crystallographic grain orientation of polycrystalline Ti on ploughing under scratch testing,” Wear. 2018. link Times cited: 42 USED (low confidence) A. Kilmametov, Y. Ivanisenko, B. Straumal, A. Gornakova, A. Mazilkin, and H. Hahn, “The α → ω Transformation in Titanium-Cobalt Alloys under High-Pressure Torsion.” 2017. link Times cited: 79 Abstract: The pressure influence on the α → ω transformation in Ti–Co … read more USED (low confidence) Z. Liu et al., “Tailoring microstructure and mechanical properties by laser powder bed fusion of Ti powder recycled and treated via discharge plasma modification,” Scripta Materialia. 2023. link Times cited: 0 USED (low confidence) C. Liu et al., “Strong and ductile nanoscale Ti-1Fe dual-phase alloy via deformation twinning,” Scripta Materialia. 2023. link Times cited: 0 USED (low confidence) A. Nikonov, “Molecular dynamics study of α-Ti behavior under conditions simulating ultrasonic impact treatment,” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE “PHYSICAL MESOMECHANICS. MATERIALS WITH MULTILEVEL HIERARCHICAL STRUCTURE AND INTELLIGENT MANUFACTURING TECHNOLOGY.” 2022. link Times cited: 0 USED (low confidence) M. G. Urazaliev, M. E. Stupak, and V. Popov, “Energetically favorable configurations of symmetric tilt grain boundaries in HCP titanium,” THE VIII INTERNATIONAL YOUNG RESEARCHERS’ CONFERENCE – PHYSICS, TECHNOLOGY, INNOVATIONS (PTI-2021). 2022. link Times cited: 0 USED (low confidence) W. Chen, X.-guo Zeng, L. Chen, X. Yang, and F. Wang, “Competition between plasticity- and void-based dynamic damage behaviors of single crystal HCP-Zr by considering the high strain rate and temperature,” Mechanics of Materials. 2020. link Times cited: 12 USED (low confidence) Q. Xu, W. Li, J. Zhou, Y. Yin, H. Nan, and X. Feng, “Molecular dynamics study on void collapse in single crystal hcp-Ti under hydrostatic compression,” Computational Materials Science. 2020. link Times cited: 10 USED (low confidence) A. Nikonov and A. Shugurov, “Numerical study of plastic ploughing of nanosized polycrystalline titanium under scratching.” 2018. link Times cited: 0 NOT USED (low confidence) Y. Hu et al., “In situ preparation of Nano Cone-Like Structures of Rutile Titanium Oxides on titanium implants by one-step femtosecond laser irradiation for enhanced mechanical properties and biocompatibility,” Journal of Materials Research and Technology. 2023. link Times cited: 0 NOT USED (low confidence) H. Wang, Q.-X. Bai, S. Chen, Y. Dou, W. Guo, and T. Wang, “Performance Evaluation of Graphene Nanofluid to Mitigate the Wear of a Diamond Tool in Micro-Machining of Ti6Al4V Alloy,” Journal of Manufacturing and Materials Processing. 2023. link Times cited: 1 Abstract: Diamond tools are extensively used in ultra-precision machin… read more 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) Q. Wang and H. Wang, “Atomic structure of intermetallic compound Nb5Si3 by new cluster transformation analysis method,” Journal of Physics: Condensed Matter. 2022. link Times cited: 1 Abstract: The structure of Nb5Si3 at the atomic level is fundamental f… read more NOT USED (low confidence) Y. Zhu et al., “Ultrastrong nanotwinned titanium alloys through additive manufacturing,” Nature Materials. 2022. link Times cited: 37 NOT USED (low confidence) T. Wen, L. Zhang, H. Wang, W. E, and D. Srolovitz, “Deep Potentials for Materials Science,” Materials Futures. 2022. link Times cited: 54 Abstract:
To fill the gap between accurate (and expensive) ab initio… read more NOT USED (low confidence) S. Chen, Z. Aitken, V. Sorkin, Z. Yu, Z. Wu, and Y.-W. Zhang, “Modified Embedded‐Atom Method Potentials for the Plasticity and Fracture Behaviors of Unary HCP Metals,” Advanced Theory and Simulations. 2021. link Times cited: 3 Abstract: Modified embedded‐atom method (MEAM) potentials have been wi… read more 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) L.-K. Shen, Y. Wang, and W.-J. Lai, “Development of a machine learning potential for the study of crack propagation in titanium,” International Journal of Pressure Vessels and Piping. 2021. link Times cited: 3 NOT USED (low confidence) H. Yao et al., “Femtosecond laser-induced nanoporous layer for enhanced osteogenesis of titanium implants.,” Materials science & engineering. C, Materials for biological applications. 2021. link Times cited: 10 NOT USED (low confidence) K.-F. Zhou et al., “Probing residual stress evolution of titanium alloy due to belt grinding based on molecular dynamics method,” Journal of Manufacturing Processes. 2021. link Times cited: 14 NOT USED (low confidence) A. Panin, A. Dmitriev, A. Nikonov, M. Kazachenok, O. Perevalova, and E. Sklyarova, “Transformations of the Microstructure and Phase Compositions of Titanium Alloys during Ultrasonic Impact Treatment. Part I. Commercially Pure Titanium,” Metals. 2021. link Times cited: 9 Abstract: Experimental and theoretical studies helped to reveal patter… read more NOT USED (low confidence) A. Dmitriev and A. Nikonov, “Molecular dynamic study of the effects of interface between α-Ti and β-Ti on the development of plastic deformation during scratch testing.” 2020. link Times cited: 0 Abstract: The paper investigates the laws of plastic deformation of an… read more NOT USED (low confidence) L. A. Mistryukova, N. P. Kryuchkov, I. Aliev, and S. Yurchenko, “Efficient approach to calculating radial distribution function in bcc Fe lattice,” Journal of Physics: Conference Series. 2020. link Times cited: 1 Abstract: Many properties of condensed matter systems can be described… read more 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) B. Faria, C. Guarda, N. Silvestre, and J. Lopes, “CNT-reinforced iron and titanium nanocomposites: Strength and deformation mechanisms,” Composites Part B-engineering. 2020. link Times cited: 23 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) Q. Ye et al., “Theoretical development and experimental validation on the measurement of temperature by extended X-ray absorption fine structure.,” Journal of synchrotron radiation. 2020. link Times cited: 1 Abstract: A systematic investigation on the theoretical framework of t… read more NOT USED (low confidence) D. Smirnova et al., “Atomistic description of self-diffusion in molybdenum: A comparative theoretical study of non-Arrhenius behavior,” Physical Review Materials. 2020. link Times cited: 16 Abstract: According to experimental observations, the temperature depe… read more NOT USED (low confidence) G. Plummer and G. Tucker, “Bond-order potentials for theTi3AlC2andTi3SiC2MAX phases,” Physical Review B. 2019. link Times cited: 12 NOT USED (low confidence) A. Pushkarev, X. P. Zhu, A. Prima, Y. Egorova, and M. Lei, “Extending the range of measurement of thermal imaging diagnostics of a high-intensity pulsed ion beam,” Laser and Particle Beams. 2019. link Times cited: 1 Abstract: Thermal imaging diagnostics was used as a surface temperatur… read more NOT USED (low confidence) L. Zhang, “Atomic simulations of packing patterns and thermal behavior in Ti clusters,” Progress in Natural Science: Materials International. 2019. link Times cited: 6 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) Y. Isakova, A. Prima, X. P. Zhu, L. Ding, A. Pushkarev, and M. Lei, “The Effect of Radiation Defects in a Metal Target on the Error in the Thermal-Imaging Diagnostics of Powerful Ion Beams,” Instruments and Experimental Techniques. 2019. link Times cited: 1 NOT USED (low confidence) Y. Chang et al., “Ti and its alloys as examples of cryogenic focused ion beam milling of environmentally-sensitive materials,” Nature Communications. 2019. link Times cited: 88 NOT USED (low confidence) D. Bigoni, D. Capuani, and D. Giarola, “Scattering of Waves by a Shear Band.” 2018. link Times cited: 0 NOT USED (low confidence) A. Mayer, V. Krasnikov, and V. V. Pogorelko, “Limit of Ultra-high Strain Rates in Plastic Response of Metals.” 2018. link Times cited: 8 NOT USED (low confidence) M. Mendelev et al., “Molecular dynamics simulation of the solid-liquid interface migration in terbium.,” The Journal of chemical physics. 2018. link Times cited: 16 Abstract: We developed a Tb embedded atom method potential which prope… read more NOT USED (low confidence) A. Ready, P. Haynes, and A. Sutton, “Comment on ‘Development of an interatomic potential for the simulation of defects, plasticity, and phase transformations in titanium’ [J. Chem. Phys. 145, 154102 (2016)].,” The Journal of chemical physics. 2017. link Times cited: 0 Abstract: Recently Mendelev, Underwood, and Ackland1 (MUA) published t… read more NOT USED (low confidence) Y. He, G. Xiao, Z. Liu, Y. Ni, and S. Liu, “Subsurface damage in laser-assisted machining titanium alloys,” International Journal of Mechanical Sciences. 2023. link Times cited: 3 NOT USED (low confidence) S. Y. Korostelev, E. E. Slyadnikov, and I. Turchanovsky, “The resistance of amorphous metals to thermal effects. Molecular dynamics modeling,” PHYSICAL MESOMECHANICS OF CONDENSED MATTER: Physical Principles of Multiscale Structure Formation and the Mechanisms of Nonlinear Behavior: MESO2022. 2023. link Times cited: 0 NOT USED (low confidence) G. Ito, R. Kawashima, K. Komurasaki, and H. Koizumi, “Incident angle dependence of reflected particles in low-energy xenon-ion impacts on metal surfaces,” Computational Materials Science. 2021. link Times cited: 4 NOT USED (low confidence) D. Dickel, D. K. Francis, and C. Barrett, “Neural network aided development of a semi-empirical interatomic potential for titanium,” Computational Materials Science. 2020. link Times cited: 18 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) J. Qi, C. Oberdorfer, W. Windl, and E. Marquis, “Ab initio
simulation of field evaporation,” Physical Review Materials. 2022. link Times cited: 5 Abstract: A new simulation approach of field evaporation is presented.… read more NOT USED (high confidence) S. Fattahpour, A. Davariashtiyani, and S. Kadkhodaei, “Understanding the role of anharmonic phonons in diffusion of bcc metal.” 2021. link Times cited: 3 Abstract: Diffusion in high-temperature bcc phase of IIIB-IVB metals s… 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) C. Baruffi, A. Finel, Y. L. Bouar, B. Bacroix, and O. U. Salman, “Atomistic simulation of martensite microstructural evolution during temperature driven β→α transition in pure titanium,” Computational Materials Science. 2020. link Times cited: 4 NOT USED (high confidence) M. M. Aish and S. A. Aljasar, “Thermo-mechanical properties of V-5Cr-5Ti alloy: 3D molecular dynamics simulation,” International Journal of Physical Sciences. 2020. link Times cited: 0 Abstract: This paper presents the results of the study of 3D molecular… read more NOT USED (high confidence) M. Mendelev et al., “Development of a semi-empirical potential suitable for molecular dynamics simulation of vitrification in Cu-Zr alloys.,” The Journal of chemical physics. 2019. link Times cited: 50 Abstract: The fast increase in available computation power allowed us … read more NOT USED (high confidence) L. Zhang and Y. Wang, “Packing Changes in Melting, Freezing, and Coalescence of Titanium Nanoparticles from Atomic Simulations,” JOM. 2019. link Times cited: 2 NOT USED (high confidence) G. Smirnov, G. Smirnov, V. Stegailov, and V. Stegailov, “Formation free energies of point defects and thermal expansion of bcc U and Mo,” Journal of Physics: Condensed Matter. 2019. link Times cited: 9 Abstract: -U is a high temperature body-centred cubic (bcc) phase of u… read more NOT USED (high confidence) Y. Sun, F. Zhang, H. Song, M. Mendelev, C. Wang, and K. Ho, “Competitive B2 and B33 Nucleation during Solidification of Ni50Zr50 Alloy: Molecular Dynamics Simulation and Classical Nucleation Theory,” The Journal of Physical Chemistry C. 2019. link Times cited: 4 Abstract: We investigated the homogenous nucleation of the stoichiomet… read more NOT USED (high confidence) D. Dickel and C. Barrett, “Methods for the determination of diffusionless transformation conditions from atomistic simulations,” Modelling and Simulation in Materials Science and Engineering. 2019. link Times cited: 3 Abstract: The phase transition process between solid phases plays a cr… read more NOT USED (high 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 (high confidence) L. Zhang, “Studying Stability of Atom Packing for Ti Nanoparticles on Heating by Molecular Dynamics Simulations,” Advanced Engineering Materials. 2018. link Times cited: 11 Abstract: Molecular dynamics simulations using an embedded atom method… read more 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. Hale, Z. Trautt, and C. Becker, “Evaluating variability with atomistic simulations: the effect of potential and calculation methodology on the modeling of lattice and elastic constants,” Modelling and Simulation in Materials Science and Engineering. 2018. link Times cited: 40 Abstract: Atomistic simulations using classical interatomic potentials… read more NOT USED (high confidence) A. Brukhno et al., “DL_MONTE: a multipurpose code for Monte Carlo simulation,” Molecular Simulation. 2018. link Times cited: 18 Abstract: ABSTRACT DL_MONTE is an open-source, general-purpose softwar… read more NOT USED (high confidence) I. A. Alhafez, C. Ruestes, and H. Urbassek, “Size of the Plastic Zone Produced by Nanoscratching,” Tribology Letters. 2018. link Times cited: 21 NOT USED (high confidence) A. Takahashi, A. Seko, and I. Tanaka, “Conceptual and practical bases for the high accuracy of machine learning interatomic potential,” arXiv: Materials Science. 2017. link Times cited: 29 Abstract: Machine learning interatomic potentials (MLIPs) based on a l… read more |
Funding |
Funder: Basic Energy Sciences Award Number: EP/K014560,eCSE04-4,EP/M011291/1 Funder: Engineering and Physical Sciences Research Council |
Short KIM ID
The unique KIM identifier code.
| MO_819959112190_000 |
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.
| EAM_Dynamo_MendelevUnderwoodAckland_2016pot3_Ti__MO_819959112190_000 |
DOI |
10.25950/eee92cb9 https://doi.org/10.25950/eee92cb9 https://commons.datacite.org/doi.org/10.25950/eee92cb9 |
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 EAM_Dynamo__MD_120291908751_005 |
Driver | EAM_Dynamo__MD_120291908751_005 |
KIM API Version | 2.2 |
Potential Type | eam |
Programming Language(s)
The programming languages used in the code and the percentage of the code written in each one. "N/A" means "not applicable" and refers to model parameterizations which only include parameter tables and have no programming language.
| N/A |
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 |
P | 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 Ti v004 | view | 7808 | |
Cohesive energy versus lattice constant curve for diamond Ti v004 | view | 7937 | |
Cohesive energy versus lattice constant curve for fcc Ti v004 | view | 7847 | |
Cohesive energy versus lattice constant curve for sc Ti v004 | view | 8908 |
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 Ti at zero temperature v006 | view | 7343 | |
Elastic constants for fcc Ti at zero temperature v006 | view | 16242 | |
Elastic constants for sc Ti at zero temperature v006 | view | 16600 |
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 Ti in AFLOW crystal prototype A_cF4_225_a v002 | view | 70603 | |
Equilibrium crystal structure and energy for Ti in AFLOW crystal prototype A_cI2_229_a v002 | view | 88197 | |
Equilibrium crystal structure and energy for Ti in AFLOW crystal prototype A_hP2_194_c v002 | view | 82160 | |
Equilibrium crystal structure and energy for Ti in AFLOW crystal prototype A_hP3_191_ad v002 | view | 48000 |
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 Ti v007 | view | 11408 | |
Equilibrium zero-temperature lattice constant for diamond Ti v007 | view | 7380 | |
Equilibrium zero-temperature lattice constant for fcc Ti v007 | view | 11408 | |
Equilibrium zero-temperature lattice constant for sc Ti v007 | view | 11468 |
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 Ti v005 | view | 132441 |
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 Ti | view | 431416 |
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 Ti | view | 4135705 |
Test | Error Categories | Link to Error page |
---|---|---|
Elastic constants for diamond Ti at zero temperature v001 | other | view |
Test | Error Categories | Link to Error page |
---|---|---|
Elastic constants for hcp Ti at zero temperature v004 | other | view |
EAM_Dynamo_MendelevUnderwoodAckland_2016pot3_Ti__MO_819959112190_000.txz | Tar+XZ | Linux and OS X archive |
EAM_Dynamo_MendelevUnderwoodAckland_2016pot3_Ti__MO_819959112190_000.zip | Zip | Windows archive |
This Model requires a Model Driver. Archives for the Model Driver EAM_Dynamo__MD_120291908751_005 appear below.
EAM_Dynamo__MD_120291908751_005.txz | Tar+XZ | Linux and OS X archive |
EAM_Dynamo__MD_120291908751_005.zip | Zip | Windows archive |