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MEAM_LAMMPS_KangSaLee_2009_ZrAgCu__MO_813575892799_002

Interatomic potential for Copper (Cu), Silver (Ag), Zirconium (Zr).
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Title
A single sentence description.
MEAM Potential for the Zr-Ag-Cu system developed by Kang et al. (2009) v002
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.
In order to investigate the phase separation behavior in Cu–Zr–Ag bulk metallic glasses (BMGs) on an atomic level, a modified embedded-atom interatomic method potential for the Cu–Zr–Ag system has been newly developed. A clear tendency of phase separation of Ag-rich phases could be observed in the supercooled liquid, in reasonable agreement with experimental information. The potential can be used for atomistic investigations of the effects of alloying element Ag on a wide range of amorphous properties of Cu–Zr BMG.
Species
The supported atomic species.
Ag, Cu, Zr
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Content Origin http://cmse.postech.ac.kr/home_2nnmeam
Contributor Jaemin Wang
Maintainer Jaemin Wang
Developer Kyung-Han Kang
Inyoung Sa
Jae-Chul Lee
E. Fleury
Byeong-Joo Lee
Published on KIM 2023
How to Cite

This Model originally published in [1] is archived in OpenKIM [2-5].

[1] Kang K-H, Sa I, Lee J-C, Fleury E, Lee B-J. Atomistic modeling of the Cu–Zr–Ag bulk metallic glass system. Scripta Materialia. 2009;61(8):801–4. doi:10.1016/j.scriptamat.2009.07.002 — (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] Kang K-H, Sa I, Lee J-C, Fleury E, Lee B-J. MEAM Potential for the Zr-Ag-Cu system developed by Kang et al. (2009) v002. OpenKIM; 2023. doi:10.25950/b43c8959

[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

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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.

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Funding Not available
Short KIM ID
The unique KIM identifier code.
MO_813575892799_002
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_KangSaLee_2009_ZrAgCu__MO_813575892799_002
DOI 10.25950/b43c8959
https://doi.org/10.25950/b43c8959
https://commons.datacite.org/doi.org/10.25950/b43c8959
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
DriverMEAM_LAMMPS__MD_249792265679_002
KIM API Version2.2
Potential Type meam
Previous Version MEAM_LAMMPS_KangSaLee_2009_ZrAgCu__MO_813575892799_001

(Click here to learn more about Verification Checks)

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


BCC Lattice Constant

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.

Species: Ag
Species: Zr
Species: Cu


Cohesive Energy Graph

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.

Species: Cu
Species: Zr
Species: Ag


Diamond Lattice Constant

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.

Species: Ag
Species: Zr
Species: Cu


Dislocation Core Energies

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)

FCC Elastic Constants

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.

Species: Zr
Species: Ag
Species: Cu


FCC Lattice Constant

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.

Species: Cu
Species: Zr
Species: Ag


FCC Stacking Fault Energies

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.

Species: Ag
Species: Cu


FCC Surface Energies

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.

Species: Cu
Species: Ag


SC Lattice Constant

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.

Species: Ag
Species: Zr
Species: Cu


Cubic Crystal Basic Properties Table

Species: Ag

Species: Cu

Species: Zr





Cohesive energy versus lattice constant curve for monoatomic cubic lattices v003

Creators:
Contributor: karls
Publication Year: 2019
DOI: https://doi.org/10.25950/64cb38c5

This Test Driver uses LAMMPS to compute the cohesive energy of a given monoatomic cubic lattice (fcc, bcc, sc, or diamond) at a variety of lattice spacings. The lattice spacings range from a_min (=a_min_frac*a_0) to a_max (=a_max_frac*a_0) where a_0, a_min_frac, and a_max_frac are read from stdin (a_0 is typically approximately equal to the equilibrium lattice constant). The precise scaling and number of lattice spacings sampled between a_min and a_0 (a_0 and a_max) is specified by two additional parameters passed from stdin: N_lower and samplespacing_lower (N_upper and samplespacing_upper). Please see README.txt for further details.
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 Ag v004 view 4893
Cohesive energy versus lattice constant curve for bcc Cu v004 view 5006
Cohesive energy versus lattice constant curve for bcc Zr v004 view 4794
Cohesive energy versus lattice constant curve for diamond Ag v004 view 4824
Cohesive energy versus lattice constant curve for diamond Cu v004 view 5301
Cohesive energy versus lattice constant curve for diamond Zr v004 view 5006
Cohesive energy versus lattice constant curve for fcc Ag v004 view 4883
Cohesive energy versus lattice constant curve for fcc Cu v004 view 4893
Cohesive energy versus lattice constant curve for fcc Zr v004 view 4774
Cohesive energy versus lattice constant curve for sc Ag v004 view 5013
Cohesive energy versus lattice constant curve for sc Cu v004 view 4933
Cohesive energy versus lattice constant curve for sc Zr v004 view 4764


Elastic constants for arbitrary crystals at zero temperature and pressure v000

Creators:
Contributor: ilia
Publication Year: 2024
DOI: https://doi.org/10.25950/888f9943

Computes the elastic constants for an arbitrary crystal. A robust computational protocol is used, attempting multiple methods and step sizes to achieve an acceptably low error in numerical differentiation and deviation from material symmetry. The crystal structure is specified using the AFLOW prototype designation as part of the Crystal Genome testing framework. In addition, the distance from the obtained elasticity tensor to the nearest isotropic tensor is computed.
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 CuZr in AFLOW crystal prototype A10B7_oC68_64_f2g_adef at zero temperature and pressure v000 view 308843


Elastic constants for cubic crystals at zero temperature and pressure v006

Creators: Junhao Li and Ellad Tadmor
Contributor: tadmor
Publication Year: 2019
DOI: https://doi.org/10.25950/5853fb8f

Computes the cubic elastic constants for some common crystal types (fcc, bcc, sc, diamond) by calculating the hessian of the energy density with respect to strain. An estimate of the error associated with the numerical differentiation performed is reported.
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 Ag at zero temperature v006 view 15983
Elastic constants for bcc Cu at zero temperature v006 view 22086
Elastic constants for bcc Zr at zero temperature v006 view 23853
Elastic constants for diamond Ag at zero temperature v001 view 23662
Elastic constants for diamond Cu at zero temperature v001 view 30992
Elastic constants for fcc Ag at zero temperature v006 view 17913
Elastic constants for fcc Cu at zero temperature v006 view 19436
Elastic constants for fcc Zr at zero temperature v006 view 15534
Elastic constants for sc Ag at zero temperature v006 view 15976
Elastic constants for sc Cu at zero temperature v006 view 17154
Elastic constants for sc Zr at zero temperature v006 view 16182


Equilibrium structure and energy for a crystal structure at zero temperature and pressure v001

Creators:
Contributor: ilia
Publication Year: 2023
DOI: https://doi.org/10.25950/e8a7ed84

Computes the equilibrium crystal structure and energy for an arbitrary crystal at zero temperature and applied stress by performing symmetry-constrained relaxation. The crystal structure is specified using the AFLOW prototype designation. Multiple sets of free parameters corresponding to the crystal prototype may be specified as initial guesses for structure optimization. No guarantee is made regarding the stability of computed equilibria, nor that any are the ground state.
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 Ag in AFLOW crystal prototype A_cF4_225_a v001 view 84075
Equilibrium crystal structure and energy for Cu in AFLOW crystal prototype A_cF4_225_a v001 view 79289
Equilibrium crystal structure and energy for Cu in AFLOW crystal prototype A_cI2_229_a v001 view 63829
Equilibrium crystal structure and energy for Ag in AFLOW crystal prototype A_hP2_194_c v001 view 68467
Equilibrium crystal structure and energy for Ag in AFLOW crystal prototype A_hP4_194_ac v001 view 74504


Equilibrium structure and energy for a crystal structure at zero temperature and pressure v002

Creators:
Contributor: ilia
Publication Year: 2024
DOI: https://doi.org/10.25950/2f2c4ad3

Computes the equilibrium crystal structure and energy for an arbitrary crystal at zero temperature and applied stress by performing symmetry-constrained relaxation. The crystal structure is specified using the AFLOW prototype designation. Multiple sets of free parameters corresponding to the crystal prototype may be specified as initial guesses for structure optimization. No guarantee is made regarding the stability of computed equilibria, nor that any are the ground state.
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 CuZr in AFLOW crystal prototype A10B7_oC68_64_f2g_adef v002 view 155303
Equilibrium crystal structure and energy for AgZr in AFLOW crystal prototype A2B_tI6_139_e_a v002 view 44537
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype A5B_cF24_216_ae_c v002 view 109854
Equilibrium crystal structure and energy for Zr in AFLOW crystal prototype A_cF4_225_a v002 view 92173
Equilibrium crystal structure and energy for Zr in AFLOW crystal prototype A_cI2_229_a v002 view 45935
Equilibrium crystal structure and energy for Zr in AFLOW crystal prototype A_hP2_194_c v002 view 72737
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype AB2_cF96_227_e_cf v002 view 740769
Equilibrium crystal structure and energy for AgZr in AFLOW crystal prototype AB2_tI6_139_a_e v002 view 67878
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype AB2_tI6_139_a_e v002 view 42107
Equilibrium crystal structure and energy for AgZr in AFLOW crystal prototype AB3_cP4_221_a_c v002 view 75461
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype AB3_tP4_123_a_ce v002 view 58676
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype AB_cP2_221_a_b v002 view 96222
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype AB_mC16_8_2ab_2ab v002 view 99535
Equilibrium crystal structure and energy for CuZr in AFLOW crystal prototype AB_oC8_63_c_c v002 view 67436
Equilibrium crystal structure and energy for AgZr in AFLOW crystal prototype AB_tP4_129_c_c v002 view 53712


Relaxed energy as a function of tilt angle for a symmetric tilt grain boundary within a cubic crystal v003

Creators:
Contributor: brunnels
Publication Year: 2022
DOI: https://doi.org/10.25950/2c59c9d6

Computes grain boundary energy for a range of tilt angles given a crystal structure, tilt axis, and material.
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)
Relaxed energy as a function of tilt angle for a 100 symmetric tilt grain boundary in fcc Ag v000 view 24802746
Relaxed energy as a function of tilt angle for a 100 symmetric tilt grain boundary in fcc Cu v001 view 21765836
Relaxed energy as a function of tilt angle for a 110 symmetric tilt grain boundary in fcc Ag v000 view 68261517
Relaxed energy as a function of tilt angle for a 110 symmetric tilt grain boundary in fcc Cu v001 view 62188797
Relaxed energy as a function of tilt angle for a 111 symmetric tilt grain boundary in fcc Ag v000 view 31852130
Relaxed energy as a function of tilt angle for a 111 symmetric tilt grain boundary in fcc Cu v001 view 30582856
Relaxed energy as a function of tilt angle for a 112 symmetric tilt grain boundary in fcc Ag v000 view 157148700


Equilibrium lattice constant and cohesive energy of a cubic lattice at zero temperature and pressure v007

Creators: Daniel S. Karls and Junhao Li
Contributor: karls
Publication Year: 2019
DOI: https://doi.org/10.25950/2765e3bf

Equilibrium lattice constant and cohesive energy of a cubic lattice at zero temperature and pressure.
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 Ag v007 view 15608
Equilibrium zero-temperature lattice constant for bcc Cu v007 view 15019
Equilibrium zero-temperature lattice constant for bcc Zr v007 view 10012
Equilibrium zero-temperature lattice constant for diamond Ag v007 view 12621
Equilibrium zero-temperature lattice constant for diamond Cu v007 view 9792
Equilibrium zero-temperature lattice constant for diamond Zr v007 view 9571
Equilibrium zero-temperature lattice constant for fcc Ag v007 view 12353
Equilibrium zero-temperature lattice constant for fcc Cu v007 view 17595
Equilibrium zero-temperature lattice constant for fcc Zr v007 view 14945
Equilibrium zero-temperature lattice constant for sc Ag v007 view 8245
Equilibrium zero-temperature lattice constant for sc Cu v007 view 12295
Equilibrium zero-temperature lattice constant for sc Zr v007 view 10012


Equilibrium lattice constants for hexagonal bulk structures at zero temperature and pressure v005

Creators: Daniel S. Karls and Junhao Li
Contributor: karls
Publication Year: 2019
DOI: https://doi.org/10.25950/c339ca32

Calculates lattice constant of hexagonal bulk structures at zero temperature and pressure by using simplex minimization to minimize the potential energy.
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 Ag v005 view 115216
Equilibrium lattice constants for hcp Cu v005 view 103437
Equilibrium lattice constants for hcp Zr v005 view 100713


Linear thermal expansion coefficient of cubic crystal structures v001

Creators: Mingjian Wen
Contributor: mjwen
Publication Year: 2019
DOI: https://doi.org/10.25950/fc69d82d

This Test Driver uses LAMMPS to compute the linear thermal expansion coefficient at a finite temperature under a given pressure for a cubic lattice (fcc, bcc, sc, diamond) of a single given species.
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)
Linear thermal expansion coefficient of fcc Ag at 293.15 K under a pressure of 0 MPa v001 view 129701358
Linear thermal expansion coefficient of fcc Cu at 293.15 K under a pressure of 0 MPa v001 view 69571882


Phonon dispersion relations for an fcc lattice v004

Creators: Matt Bierbaum
Contributor: mattbierbaum
Publication Year: 2019
DOI: https://doi.org/10.25950/64f4999b

Calculates the phonon dispersion relations for fcc lattices and records the results as curves.
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)
Phonon dispersion relations for fcc Ag v004 view 87677
Phonon dispersion relations for fcc Cu v004 view 125744


Stacking and twinning fault energies of an fcc lattice at zero temperature and pressure v002

Creators:
Contributor: SubrahmanyamPattamatta
Publication Year: 2019
DOI: https://doi.org/10.25950/b4cfaf9a

Intrinsic and extrinsic stacking fault energies, unstable stacking fault energy, unstable twinning energy, stacking fault energy as a function of fractional displacement, and gamma surface for a monoatomic FCC lattice at zero temperature and pressure.
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)
Stacking and twinning fault energies for fcc Ag v002 view 32885173
Stacking and twinning fault energies for fcc Cu v002 view 32754923


High-symmetry surface energies in cubic lattices and broken bond model v004

Creators: Matt Bierbaum
Contributor: mattbierbaum
Publication Year: 2019
DOI: https://doi.org/10.25950/6c43a4e6

Calculates the surface energy of several high symmetry surfaces and produces a broken-bond model fit. In latex form, the fit equations are given by:

E_{FCC} (\vec{n}) = p_1 (4 \left( |x+y| + |x-y| + |x+z| + |x-z| + |z+y| +|z-y|\right)) + p_2 (8 \left( |x| + |y| + |z|\right)) + p_3 (2 ( |x+ 2y + z| + |x+2y-z| + |x-2y + z| + |x-2y-z| + |2x+y+z| + |2x+y-z| +|2x-y+z| +|2x-y-z| +|x+y+2z| +|x+y-2z| +|x-y+2z| +|x-y-2z| ) + c

E_{BCC} (\vec{n}) = p_1 (6 \left( | x+y+z| + |x+y-z| + |-x+y-z| + |x-y+z| \right)) + p_2 (8 \left( |x| + |y| + |z|\right)) + p_3 (4 \left( |x+y| + |x-y| + |x+z| + |x-z| + |z+y| +|z-y|\right)) +c.

In Python, these two fits take the following form:

def BrokenBondFCC(params, index):

import numpy
x, y, z = index
x = x / numpy.sqrt(x**2.+y**2.+z**2.)
y = y / numpy.sqrt(x**2.+y**2.+z**2.)
z = z / numpy.sqrt(x**2.+y**2.+z**2.)

return params[0]*4* (abs(x+y) + abs(x-y) + abs(x+z) + abs(x-z) + abs(z+y) + abs(z-y)) + params[1]*8*(abs(x) + abs(y) + abs(z)) + params[2]*(abs(x+2*y+z) + abs(x+2*y-z) +abs(x-2*y+z) +abs(x-2*y-z) + abs(2*x+y+z) +abs(2*x+y-z) +abs(2*x-y+z) +abs(2*x-y-z) + abs(x+y+2*z) +abs(x+y-2*z) +abs(x-y+2*z) +abs(x-y-2*z))+params[3]

def BrokenBondBCC(params, x, y, z):


import numpy
x, y, z = index
x = x / numpy.sqrt(x**2.+y**2.+z**2.)
y = y / numpy.sqrt(x**2.+y**2.+z**2.)
z = z / numpy.sqrt(x**2.+y**2.+z**2.)

return params[0]*6*(abs(x+y+z) + abs(x-y-z) + abs(x-y+z) + abs(x+y-z)) + params[1]*8*(abs(x) + abs(y) + abs(z)) + params[2]*4* (abs(x+y) + abs(x-y) + abs(x+z) + abs(x-z) + abs(z+y) + abs(z-y)) + params[3]
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)
Broken-bond fit of high-symmetry surface energies in fcc Ag v004 view 113434
Broken-bond fit of high-symmetry surface energies in fcc Cu v004 view 134341


Monovacancy formation energy and relaxation volume for cubic and hcp monoatomic crystals v001

Creators:
Contributor: efuem
Publication Year: 2023
DOI: https://doi.org/10.25950/fca89cea

Computes the monovacancy formation energy and relaxation volume for cubic and hcp monoatomic crystals.
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 fcc Ag view 441355
Monovacancy formation energy and relaxation volume for fcc Cu view 556056
Monovacancy formation energy and relaxation volume for hcp Zr view 399686


Vacancy formation and migration energies for cubic and hcp monoatomic crystals v001

Creators:
Contributor: efuem
Publication Year: 2023
DOI: https://doi.org/10.25950/c27ba3cd

Computes the monovacancy formation and migration energies for cubic and hcp monoatomic crystals.
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 fcc Ag view 4006501
Vacancy formation and migration energy for fcc Cu view 1866059
Vacancy formation and migration energy for hcp Zr view 4615858





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MEAM_LAMMPS__MD_249792265679_002.txz Tar+XZ Linux and OS X archive
MEAM_LAMMPS__MD_249792265679_002.zip Zip Windows archive
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