Equilibrium crystal structure and energy for Mo in AFLOW crystal prototype A_cI2_229_a v003

I Nikiforov; Ellad B. Tadmor; Daniel S. Karls; Moon-ki Choi

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EquilibriumCrystalStructure_A_cI2_229_a_Mo__TE_313831422432_003

Title A single sentence description.	Equilibrium crystal structure and energy for Mo in AFLOW crystal prototype A_cI2_229_a v003
Description	Computes the equilibrium crystal structure and energy for Mo in AFLOW crystal prototype A_cI2_229_a at zero temperature and applied stress by performing symmetry-constrained relaxation. The following initial guess for the parameters (representing cell and internal degrees of freedom) allowed to vary during the relaxation is used: a (angstrom): 3.1827, obtained from OpenKIM Reference Data item RD_996346622792_000
Species The supported atomic species.	Mo
Disclaimer A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.	Computer generated

Contributor	I Nikiforov
Maintainer	I Nikiforov
Developer	I Nikiforov Ellad B. Tadmor Daniel S. Karls Moon-ki Choi
Published on KIM	2025
How to Cite	This Test is archived in OpenKIM [1-4]. [1] Nikiforov I, Tadmor EB, Karls DS, Choi M-ki. Equilibrium crystal structure and energy for Mo in AFLOW crystal prototype A_cI2_229_a v003 [Internet]. OpenKIM; 2025. Available from: https://openkim.org/cite/TE_313831422432_003 [2] Nikiforov I, Tadmor EB. Equilibrium structure and energy for a crystal structure at zero temperature and pressure v003. OpenKIM; 2025. doi:10.25950/866c7cfa [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
Funding	Not available

Short KIM ID The unique KIM identifier code.	TE_313831422432_003
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.	EquilibriumCrystalStructure_A_cI2_229_a_Mo__TE_313831422432_003
Citable Link	https://openkim.org/cite/TE_313831422432_003
KIM Item Type	Test
Driver	EquilibriumCrystalStructure__TD_457028483760_003
Properties Properties as defined in kimspec.edn. These properties are inhereted from the Test Driver.	tag:staff@noreply.openkim.org,2023-02-21:property/binding-energy-crystal tag:staff@noreply.openkim.org,2023-02-21:property/crystal-structure-npt tag:staff@noreply.openkim.org,2025-04-15:property/mass-density-crystal-npt
KIM API Version	2.3
Simulator Name The name of the simulator as defined in kimspec.edn. This Simulator Name is inhereted from the Test Driver.	ase
Programming Language(s) The programming languages used in the code and the percentage of the code written in each one.	100.00% Python

Previous Version	EquilibriumCrystalStructure_A_cI2_229_a_Mo__TE_313831422432_002

Models

EAM_Dynamo__MD_120291908751_005

Model	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)
EAM_Dynamo_AcklandThetford_1987_Mo__MO_789280224186_000		view	144244

EAM_Dynamo__MD_120291908751_006

Model	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)
EAM_Dynamo_SmirnovaKuskinStarikov_2013_UMoXe__MO_679329885632_006	view	143697
EAM_Dynamo_ZhouJohnsonWadley_2004_CuAgAuNiPdPtAlPbFeMoTaWMgCoTiZr__MO_870117231765_001	view	175274
EAM_Dynamo_ZhouJohnsonWadley_2004_Mo__MO_271256517527_006	view	175033
EAM_Dynamo_ZhouJohnsonWadley_2004NISTretabulation_Mo__MO_230319944007_001	view	160740

EAM_MagneticCubic__MD_620624592962_002

Model	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)
EAM_MagneticCubic_DerletNguyenDudarev_2007_Mo__MO_424746498193_002		view	169749

LJ__MD_414112407348_003

Model	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)
LJ_ElliottAkerson_2015_Universal__MO_959249795837_003 This Model has a disclaimer This model was automatically fit using Lorentz-Berthelot mixing rules. It reproduces the dimer equilibrium separation (covalent radii) and the bond dissociation energies. It has not been fitted to other physical properties and its ability to model structures other than dimers is unknown.		view	176635

MEAM_LAMMPS__MD_249792265679_002

Model	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)
MEAM_LAMMPS_JeongParkDo_2018_PdMo__MO_356501945107_002	view	166626
MEAM_LAMMPS_KimSeolJi_2017_PtMo__MO_831380044253_002	view	142300
MEAM_LAMMPS_LeeBaskesKim_2001_Mo__MO_805823015127_001	view	173272
MEAM_LAMMPS_ParkFellingerLenosky_2012_Mo__MO_269937397263_002	view	151535
MEAM_LAMMPS_WangOhLee_2020_CuMo__MO_380272712420_002	view	172391
MEAM_LAMMPS_WangOhLee_2020_CuMo__MO_486450342170_002	view	169188

Morse_Shifted__MD_552566534109_004

Model	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)
Morse_Shifted_GirifalcoWeizer_1959HighCutoff_Mo__MO_666830945336_004	view	133550
Morse_Shifted_GirifalcoWeizer_1959LowCutoff_Mo__MO_228581001644_004	view	132639
Morse_Shifted_GirifalcoWeizer_1959MedCutoff_Mo__MO_534363225491_004	view	175754

SNAP__MD_536750310735_000

Model	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)
SNAP_ChenDengTran_2017_Mo__MO_698578166685_000 This Model has a disclaimer This potential is designed for Mo bcc systems. It is not appropriate for other elements. The potential was trained using LAMMPS version 17Nov2016. Newer LAMMPS may see energy differences, but the relative values should remain to be the same.	view	157672
SNAP_LiChenZheng_2019_NbTaWMo__MO_560387080449_000 This Model has a disclaimer This potential is designed for Nb-Mo-Ta-W chemistries, including the elementary, binary, ternary and quaternary systems. The potential was trained using LAMMPS version 17Nov2016. Newer LAMMPS may see energy differences, but the relative values should remain to be the same.	view	167587
SNAP_LiHuChen_2018_NiMo__MO_468686727341_000 This Model has a disclaimer This potential is designed for Ni-Mo chemistries, including both the elementary and binary systems. The potential was trained using LAMMPS version 17Nov2016. Newer LAMMPS may see energy differences, but the relative values should remain to be the same.	view	169909
SNAP_ZuoChenLi_2019_Mo__MO_014123846623_000 This Model has a disclaimer This potential is designed for Mo bcc systems. It is not appropriate for other elements. The potential was trained using LAMMPS version 12Dec2018. Newer LAMMPS may see energy differences, but the relative values should remain to be the same.	view	176235
SNAP_ZuoChenLi_2019quadratic_Mo__MO_692442138123_000 This Model has a disclaimer This potential is designed for Mo bcc systems. It is not appropriate for other elements. The potential was trained using LAMMPS version 12Dec2018. Newer LAMMPS may see energy differences, but the relative values should remain to be the same.	view	177676

SW_MX2__MD_242389978788_001

Model	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)
SW_MX2_KurniawanPetrieWilliams_2021_MoS__MO_677328661525_000 This Model has a disclaimer As with the original model by Wen et al. (2017) (or reference the model), this model is designed for two-dimensional (2D) monolayer molybdenum disulfide (MoS2), and is not appropriate for bulk MoS2 or other compounds of Mo and/or S.		view	173912
SW_MX2_WenShirodkarPlechac_2017_MoS__MO_201919462778_001		view	175434

Tersoff_LAMMPS__MD_077075034781_005

Model	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)
Tersoff_LAMMPS_ZhangNguyen_2021_MoSe__MO_152208847456_001		view	175994

No Driver

Model	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)
Sim_LAMMPS_ADP_StarikovKolotovaKuksin_2017_UMo__SM_682749584055_000	view	172231
Sim_LAMMPS_MEAM_ParkFellingerLenosky_2012_Mo__SM_769176993156_000	view	171671
Sim_LAMMPS_SNAP_ChenDengTran_2017_Mo__SM_003882782678_000	view	147951

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