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LinearThermalExpansionCoeffCubic_fcc_Ni__TE_127978642829_001

Title
A single sentence description.
Linear thermal expansion coefficient of fcc Ni at 293.15 K under a pressure of 0 MPa v001
Description Linear thermal expansion coefficient of a fcc lattice of Ni atoms at a temperature of 293.15 K under a pressure of 0 MPa.
Species
The supported atomic species.
Ni
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Contributor Mingjian Wen
Maintainer Mingjian Wen
Published on KIM 2019
How to Cite Click here to download this citation in BibTeX format.
Funding Not available
Short KIM ID
The unique KIM identifier code.
TE_127978642829_001
Extended KIM ID
The long form of the KIM ID including a human readable prefix (100 characters max), two underscores, and the Short KIM ID. Extended KIM IDs can only contain alpha-numeric characters (letters and digits) and underscores and must begin with a letter.
LinearThermalExpansionCoeffCubic_fcc_Ni__TE_127978642829_001
Citable Link https://openkim.org/cite/TE_127978642829_001
KIM Item TypeTest
DriverLinearThermalExpansionCoeffCubic__TD_522633393614_001
Properties
Properties as defined in kimspec.edn. These properties are inhereted from the Test Driver.
KIM API Version2.0
Simulator Name
The name of the simulator as defined in kimspec.edn. This Simulator Name is inhereted from the Test Driver.
LAMMPS
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 LinearThermalExpansionCoeffCubic_fcc_Ni__TE_127978642829_000


EAM_CubicNaturalSpline__MD_853402641673_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_CubicNaturalSpline_AngeloMoody_1995_Ni__MO_800536961967_003 view 5005524
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_AcklandTichyVitek_1987_Ni__MO_977363131043_005 view 3004183
EAM_Dynamo_AcklandTichyVitek_1987v2_Ni__MO_769632475533_000 view 2575978
EAM_Dynamo_AdamsFoilesWolfer_1989Universal6_Ni__MO_258836200237_000 view 6252410
EAM_Dynamo_AngeloMoodyBaskes_1995_NiAlH__MO_418978237058_005 view 9539760
EAM_Dynamo_BelandLuOsetskiy_2016_CoNi__MO_871937946490_000 view 23450014
EAM_Dynamo_BelandTammMu_2017_FeNiCr__MO_715003088863_000 view 22182207
EAM_Dynamo_BonnyCastinTerentyev_2013_FeNiCr__MO_763197941039_000 view 3612262
EAM_Dynamo_BonnyPasianotCastin_2009_FeCuNi__MO_469343973171_005 view 8055342
EAM_Dynamo_BonnyPasianotMalerba_2009_FeNi__MO_267721408934_005 view 7688748
EAM_Dynamo_BonnyTerentyevPasianot_2011_FeNiCr__MO_677715648236_000 view 19765129
EAM_Dynamo_DeluigiPasianotValencia_2021_FeNiCrCoCu__MO_657255834688_000 view 18072618
EAM_Dynamo_FarkasCaro_2018_FeNiCrCoCu__MO_803527979660_000 view 17475499
EAM_Dynamo_FarkasCaro_2020_FeNiCrCoAl__MO_820335782779_000 view 16580337
EAM_Dynamo_FischerSchmitzEich_2019_CuNi__MO_266134052596_000 view 15422685
EAM_Dynamo_Foiles_1985_Ni__MO_010059867259_000 view 5522069
EAM_Dynamo_FoilesBaskesDaw_1986Universal3_Ni__MO_580571659842_000 view 4866007
EAM_Dynamo_FoilesHoyt_2006_Ni__MO_776437554506_000 view 9086831
EAM_Dynamo_MendelevBorovikov_2020_FeNiCr__MO_922363340570_000 view 14182387
EAM_Dynamo_MendelevKramerHao_2012_Ni__MO_832600236922_005 view 12006016
EAM_Dynamo_MendelevKramerHao_2012_NiZr__MO_149104665840_005 view 24332913
EAM_Dynamo_Mishin_2004_NiAl__MO_101214310689_005 view 8338797
EAM_Dynamo_MishinFarkasMehl_1999_Ni__MO_400591584784_005 view 12735045
EAM_Dynamo_MishinMehlPapaconstantopoulos_2002_NiAl__MO_109933561507_005 view 16135252
EAM_Dynamo_OnatDurukanoglu_2014_CuNi__MO_592013496703_005 view 12997291
EAM_Dynamo_PanBorovikovMendelev_2108_AgNi__MO_222110751402_000 view 32658576
EAM_Dynamo_PunMishin_2009_NiAl__MO_751354403791_005 view 9109124
EAM_Dynamo_PunYamakovMishin_2013_NiAlCo__MO_826591359508_000 view 10083477
EAM_Dynamo_PunYamakovMishin_2015_NiCo__MO_010613863288_000 view 10119688
EAM_Dynamo_SamolyukBelandStocks_2016_NiPd__MO_532072268679_000 view 55698830
EAM_Dynamo_StollerTammBeland_2016_Ni__MO_103383163946_000 view 12938224
EAM_Dynamo_TehranchiCurtin_2010_NiH__MO_535504325462_003 view 9188136
EAM_Dynamo_WilsonMendelev_2015_NiZr__MO_306032198193_000 view 24303995
EAM_Dynamo_ZhangAshcraftMendelev_2016_NiNb__MO_047308317761_000 view 17647660
EAM_Dynamo_ZhouFosterSills_2018_FeNiCr__MO_036303866285_000 view 31228755
EAM_Dynamo_ZhouJohnsonWadley_2004_Ni__MO_110256178378_005 view 6534937
EAM_Dynamo_ZhouWadleyJohnson_2001NISTretabulation_Ni__MO_593762436933_000 view 7910784
EMT_Asap__MD_128315414717_004
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)
EMT_Asap_Standard_JacobsenStoltzeNorskov_1996_AlAgAuCuNiPdPt__MO_115316750986_001 view 25274029
EMT_Asap_Standard_JacobsenStoltzeNorskov_1996_Ni__MO_108408461881_001 view 15914272
MEAM_LAMMPS__MD_249792265679_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)
MEAM_LAMMPS_AsadiZaeemNouranian_2015_Ni__MO_700541006254_002 view 53050969
MEAM_LAMMPS_ChoiJoSohn_2018_CoNiCrFeMn__MO_115454747503_002 view 145530707
MEAM_LAMMPS_ChoiKimSeol_2017_NiMn__MO_348689608050_002 view 88541093
MEAM_LAMMPS_CostaAgrenClavaguera_2007_AlNi__MO_131642768288_002 view 245571853
MEAM_LAMMPS_EtesamiAsadi_2018_Ni__MO_937008984446_002 view 75711028
MEAM_LAMMPS_JeongParkDo_2018_PdNi__MO_008996216289_002 view 148626980
MEAM_LAMMPS_KavousiNovakBaskes_2019_NiTi__MO_050461957184_002 view 90051344
MEAM_LAMMPS_KimJungLee_2015_NiAlCo__MO_876687166519_002 view 196248400
MEAM_LAMMPS_KimKimJung_2017_NiAlTi__MO_478967255435_002 view 179362876
MEAM_LAMMPS_KimSeolJi_2017_PtNi__MO_020840179467_002 view 33956599
MEAM_LAMMPS_KoGrabowskiNeugebauer_2015_NiTi__MO_663355627503_002 view 69183879
MEAM_LAMMPS_KoShimLee_2011_NiH__MO_091278480940_002 view 65868998
MEAM_LAMMPS_LeeShim_2004_NiCu__MO_409065472403_002 view 65833071
MEAM_LAMMPS_LeeShimBaskes_2003_Ni__MO_000553624872_001 view 65812163
MEAM_LAMMPS_MahataMukhopadhyayAsleZaeem_2022_AlNi__MO_461927113651_001 view 70908893
MEAM_LAMMPS_MaiselKoZhang_2017_VNiTi__MO_744610363128_002 view 127556203
MEAM_LAMMPS_ShimKoKim_2013_NiVH__MO_612225165948_002 view 206034331
MEAM_LAMMPS_ShimParkCho_2003_NiW__MO_500937681860_002 view 175281282
MEAM_LAMMPS_Wagner_2007_Ni__MO_444394830472_002 view 62303262
MEAM_LAMMPS_WuLeeSu_2017_NiCr__MO_880803040302_002 view 65789119
MEAM_LAMMPS_WuLeeSu_2017_NiCrFe__MO_912636107108_002 view 66225762
MEAM_LAMMPS_WuLeeSu_2017_NiFe__MO_321233176498_002 view 54988669
Morse_Shifted__MD_552566534109_004
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)
Morse_Shifted_GirifalcoWeizer_1959HighCutoff_Ni__MO_381861218831_004 view 38492488
Morse_Shifted_GirifalcoWeizer_1959LowCutoff_Ni__MO_322509103239_004 view 11071707
Morse_Shifted_GirifalcoWeizer_1959MedCutoff_Ni__MO_758825945924_004 view 22390262
SNAP__MD_536750310735_000
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)
SNAP_LiHuChen_2018_Ni__MO_913991514986_000 view 325896822
SNAP_LiHuChen_2018_NiMo__MO_468686727341_000 view 494023095
SNAP_ZuoChenLi_2019_Ni__MO_365106510449_000 view 1007622395
SNAP_ZuoChenLi_2019quadratic_Ni__MO_263593395744_000 view 2954898944
No Driver
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)
Sim_LAMMPS_ADP_MishinMehlPapaconstantopoulos_2005_Ni__SM_477692857359_000 view 8372353
Sim_LAMMPS_ADP_XuWangQian_2022_NiPd__SM_559286646876_000 view 25858725
Sim_LAMMPS_ADP_XuWangQian_2022_NiRh__SM_306597220004_000 view 43268760
Sim_LAMMPS_HybridOverlay_BelandLuOsetskiy_2016_CoNi__SM_445377835613_001 view 19337676
Sim_LAMMPS_MEAM_AsadiZaeemNouranian_2015_Ni__SM_078420412697_000 view 37034337
Sim_LAMMPS_MEAM_KoGrabowskiNeugebauer_2015_NiTi__SM_770142935022_000 view 37889883
Sim_LAMMPS_MEAM_Wagner_2007_Ni__SM_168413969663_000 view 16598324


EAM_CubicNaturalSpline__MD_853402641673_002
Model Error Categories Link to Error page
EAM_CubicNaturalSpline_AngeloMoody_1995_Ni__MO_800536961967_002 other view

EAM_IMD__MD_113599595631_003

LJ__MD_414112407348_003
Model Error Categories Link to Error page
LJ_ElliottAkerson_2015_Universal__MO_959249795837_003 other view

MEAM_LAMMPS__MD_249792265679_001

No Driver




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