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LinearThermalExpansionCoeffCubic_bcc_Cr__TE_435511432078_001

Title
A single sentence description.
Linear thermal expansion coefficient of bcc Cr at 293.15 K under a pressure of 0 MPa v001
Description Linear thermal expansion coefficient of a bcc lattice of Cr atoms at a temperature of 293.15 K under a pressure of 0 MPa.
Species
The supported atomic species.
Cr
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_435511432078_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_bcc_Cr__TE_435511432078_001
Citable Link https://openkim.org/cite/TE_435511432078_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_bcc_Cr__TE_435511432078_000


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_BelandTammMu_2017_FeNiCr__MO_715003088863_000 view 8368733
EAM_Dynamo_BonnyCastinTerentyev_2013_FeNiCr__MO_763197941039_000 view 3632767
EAM_Dynamo_BonnyTerentyevPasianot_2011_FeNiCr__MO_677715648236_000 view 17974534
EAM_Dynamo_DeluigiPasianotValencia_2021_FeNiCrCoCu__MO_657255834688_000 view 20828302
EAM_Dynamo_FarkasCaro_2018_FeNiCrCoCu__MO_803527979660_000 view 13001540
EAM_Dynamo_FarkasCaro_2020_FeNiCrCoAl__MO_820335782779_000 view 20532884
EAM_Dynamo_MendelevBorovikov_2020_FeNiCr__MO_922363340570_000 view 4719370
EAM_Dynamo_ZhouFosterSills_2018_FeNiCr__MO_036303866285_000 view 6356081
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_ChoiJoSohn_2018_CoNiCrFeMn__MO_115454747503_002 view 54232276
MEAM_LAMMPS_ChoiKimSeol_2017_CoCr__MO_410167849923_002 view 33042426
MEAM_LAMMPS_ChoiKimSeol_2017_CrMn__MO_671124822359_002 view 57869160
MEAM_LAMMPS_LeeBaskesKim_2001_Cr__MO_134550636109_001 view 34505151
MEAM_LAMMPS_LeeShimPark_2001_FeCr__MO_150993986463_001 view 63291649
MEAM_LAMMPS_WuLeeSu_2017_NiCr__MO_880803040302_002 view 23843030
MEAM_LAMMPS_WuLeeSu_2017_NiCrFe__MO_912636107108_002 view 23824624
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_Cr__MO_859700307573_004 view 19849749
Morse_Shifted_GirifalcoWeizer_1959LowCutoff_Cr__MO_483480726117_004 view 6634463
Morse_Shifted_GirifalcoWeizer_1959MedCutoff_Cr__MO_245813471114_004 view 18995175
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_HowellsMishin_2018_Cr__SM_884076133432_000 view 13912870
Sim_LAMMPS_EAM_BonnyCastinBullens_2013_FeCrW__SM_699257350704_001 view 21559174
Sim_LAMMPS_EAM_BonnyPasianotTerentyev_2011_FeCr__SM_237089298463_001 view 16059876
Sim_LAMMPS_EAM_EichBeinkeSchmitz_2015_FeCr__SM_731771351835_000 view 12100582





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