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Sim_LAMMPS_BOP_ZhouWardFoster_2016_AlCu__SM_566399258279_000

Title
A single sentence description.
LAMMPS BOP potential for the Al-Cu system developed by Zhou, Ward, and Foster (2016) v000
Description Al-rich Al1-xCux alloys are important structural materials in the aerospace industry due to their high strength to density ratio. They are also emerging materials for hydrogen containing structures due to their potentially high resistance to hydrogen embrittlement. To enable accurate simulations of the mechanical behavior of Al1-xCux alloys that can guide material improvement, we have developed a high-fidelity analytical bond-order potential (BOP) for the Al-Cu system (the code is publically available in molecular dynamics package LAMMPS). The formalism of the potential is derived from quantum mechanical theories, and the parameters are optimized in an iteration fashion. The iterations begin by fitting properties of a variety of elemental and compound configurations (with coordination varying from 1 to 12) including small clusters, bulk lattices, defects, and surfaces. Following the fitting process, crystalline growth of important equilibrium phases is checked through molecular dynamics simulations of vapor deposition. It is demonstrated that this Al-Cu bond-order potential has unique advantages relative to existing literature potentials in reproducing structural and property tends from experiments and quantum-mechanical calculations, and providing good descriptions of melting temperature, defect characteristics, and surface energies. Most importantly, this BOP is the only potential currently available capable of capturing the Al-rich end of the Al-Cu phase diagram. This capability is rigorously verified by the potential's ability to capture the crystalline growth of the ground-state structures for elemental Al and Cu, as well as, the theta and theta' phases of the Al2Cu compound in vapor deposition simulations.
Species
The supported atomic species.
Al, Cu
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Content Origin LAMMPS package 22-Sep-2017
Contributor ronmiller
Maintainer ronmiller
Author Ronald E. Miller
Publication Year 2019
Item Citation

This Simulator Model originally published in [1] is archived in OpenKIM [2-4].

[1] Zhou XW, Ward DK, Foster ME. An analytical bond-order potential for the aluminum copper binary system. Journal of Alloys and Compounds [Internet]. 2016Sep;680:752–67. Available from: https://doi.org/10.1016/j.jallcom.2016.04.055 doi:10.1016/j.jallcom.2016.04.055

[2] Miller RE. LAMMPS BOP potential for the Al-Cu system developed by Zhou, Ward, and Foster (2016) v000. OpenKIM; 2019. doi:10.25950/9e693ed2

[3] 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

[4] 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.
Short KIM ID
The unique KIM identifier code.
SM_566399258279_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.
Sim_LAMMPS_BOP_ZhouWardFoster_2016_AlCu__SM_566399258279_000
DOI 10.25950/9e693ed2
https://doi.org/10.25950/9e693ed2
https://search.datacite.org/works/10.25950/9e693ed2
KIM Item TypeSimulator Model
KIM API Version2.1
Simulator Name
The name of the simulator as defined in kimspec.edn.
LAMMPS
Potential Type bop

Verification Check Dashboard

(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
F 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
B 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
N/A 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

Visualizers (in-page)


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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



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: Al
Species: Cu

Click on any thumbnail to get a full size image.



Cubic Crystal Basic Properties Table

Species: Al

Species: Cu



Tests

CohesiveEnergyVsLatticeConstant__TD_554653289799_003
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 muliplied 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)
CohesiveEnergyVsLatticeConstant_bcc_Al__TE_320860761056_003 view 2687
CohesiveEnergyVsLatticeConstant_bcc_Cu__TE_864632638496_003 view 3423
CohesiveEnergyVsLatticeConstant_diamond_Al__TE_024193005713_003 view 2623
CohesiveEnergyVsLatticeConstant_diamond_Cu__TE_596332570306_003 view 2879
CohesiveEnergyVsLatticeConstant_fcc_Al__TE_380539271142_003 view 2751
CohesiveEnergyVsLatticeConstant_fcc_Cu__TE_311348891940_003 view 3359
CohesiveEnergyVsLatticeConstant_sc_Al__TE_549565909158_003 view 2687
CohesiveEnergyVsLatticeConstant_sc_Cu__TE_767437873249_003 view 2847
ElasticConstantsCubic__TD_011862047401_006
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 muliplied 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)
ElasticConstantsCubic_bcc_Al__TE_143620255826_006 view 5566
ElasticConstantsCubic_bcc_Cu__TE_091603841600_006 view 10652
ElasticConstantsCubic_diamond_Al__TE_677832100573_001 view 41426
ElasticConstantsCubic_diamond_Cu__TE_330878926469_001 view 29110
ElasticConstantsCubic_fcc_Al__TE_944469580177_006 view 12028
ElasticConstantsCubic_fcc_Cu__TE_188557531340_006 view 16090
ElasticConstantsCubic_sc_Al__TE_566227372929_006 view 4702
ElasticConstantsCubic_sc_Cu__TE_319353354686_006 view 9373
ElasticConstantsHexagonal__TD_612503193866_003
Computes the elastic constants for hcp crystals 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 muliplied 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)
ElasticConstantsHexagonal_hcp_Al__TE_064090254718_003 view 6642
ElasticConstantsHexagonal_hcp_Cu__TE_198002759922_003 view 10802
GrainBoundaryCubicCrystalSymmetricTiltRelaxedEnergyVsAngle__TD_410381120771_001
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 muliplied 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)
GrainBoundaryCubicCrystalSymmetricTiltRelaxedEnergyVsAngle_fcc100_Al__TE_918853243284_001 view 1133736608
LatticeConstantCubicEnergy__TD_475411767977_007
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 muliplied 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)
LatticeConstantCubicEnergy_bcc_Al__TE_201065028814_007 view 3615
LatticeConstantCubicEnergy_bcc_Cu__TE_873531926707_007 view 6206
LatticeConstantCubicEnergy_diamond_Al__TE_586085652256_007 view 17818
LatticeConstantCubicEnergy_diamond_Cu__TE_939141232476_007 view 17914
LatticeConstantCubicEnergy_fcc_Al__TE_156715955670_007 view 13052
LatticeConstantCubicEnergy_fcc_Cu__TE_387272513402_007 view 14267
LatticeConstantCubicEnergy_sc_Al__TE_272202056996_007 view 6526
LatticeConstantCubicEnergy_sc_Cu__TE_904717264736_007 view 6302
LatticeConstantHexagonalEnergy__TD_942334626465_004
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 muliplied 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)
LatticeConstantHexagonalEnergy_hcp_Al__TE_248740869817_004 view 56943
LatticeConstantHexagonalEnergy_hcp_Cu__TE_344176839725_004 view 115369
LinearThermalExpansionCoeffCubic__TD_522633393614_001
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 muliplied 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)
LinearThermalExpansionCoeffCubic_fcc_Al__TE_957040092249_001 view 104465294
LinearThermalExpansionCoeffCubic_fcc_Cu__TE_335019190158_001 view 238052285
PhononDispersionCurve__TD_530195868545_004
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 muliplied 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)
PhononDispersionCurve_fcc_Al__TE_363050395011_004 view 62411
PhononDispersionCurve_fcc_Cu__TE_575177044018_004 view 62411
StackingFaultFccCrystal__TD_228501831190_002
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 muliplied 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)
StackingFaultFccCrystal_0bar_Al__TE_104913236993_002 view 126724871
StackingFaultFccCrystal_0bar_Cu__TE_090810770014_002 view 330022708
SurfaceEnergyCubicCrystalBrokenBondFit__TD_955413365818_004
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 muliplied 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)
SurfaceEnergyCubicCrystalBrokenBondFit_fcc_Al__TE_761372278666_004 view 345321
SurfaceEnergyCubicCrystalBrokenBondFit_fcc_Cu__TE_689904280697_004 view 612941




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