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CohesiveEnergyVsLatticeConstant_diamond_Pd__TE_609472286246_003

Title
A single sentence description.
Cohesive energy versus lattice constant curve for diamond Pd v003
Description This Test computes an energy vs. lattice constant curve for diamond Pd. The curve is computed for lattice constants ranging from 0.8*a_0 to 1.5*a_0, where a_0 represents the equilibrium lattice constant. The value for a_0 is obtained by querying the KIM database for the results of LatticeConstantCubicEnergy_diamond_Pd when paired against the Model being used.
Species
The supported atomic species.
Pd
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Contributor Daniel S. Karls
Maintainer Daniel S. Karls
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_609472286246_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.
CohesiveEnergyVsLatticeConstant_diamond_Pd__TE_609472286246_003
Citable Link https://openkim.org/cite/TE_609472286246_003
KIM Item TypeTest
DriverCohesiveEnergyVsLatticeConstant__TD_554653289799_003
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 CohesiveEnergyVsLatticeConstant_diamond_Pd__TE_609472286246_002


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_AdamsFoilesWolfer_1989Universal6_Pd__MO_169076431435_000 view 2431
EAM_Dynamo_FoilesBaskesDaw_1986Universal3_Pd__MO_786012902615_000 view 2335
EAM_Dynamo_HaleWongZimmerman_2008PairHybrid_PdAgH__MO_104806802344_005 view 2559
EAM_Dynamo_HaleWongZimmerman_2008PairMorse_PdAgH__MO_108983864770_005 view 2623
EAM_Dynamo_SamolyukBelandStocks_2016_NiPd__MO_532072268679_000 view 7748
EAM_Dynamo_SchopfBrommerFrigan_2012_AlMnPd__MO_137572817842_000 view 2559
EAM_Dynamo_ZhouBarteltSills_2021_PdHHe__MO_865505436319_000 view 10026
EAM_Dynamo_ZhouWadleyJohnson_2001NISTretabulation_Pd__MO_993644691224_000 view 2463
EAM_Dynamo_ZhouZimmermanWong_2008_PdH__MO_114797992931_000 view 2303
EAM_IMD__MD_113599595631_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)
EAM_IMD_SchopfBrommerFrigan_2012_AlMnPd__MO_878712978062_003 view 7773
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 2047
EMT_Asap_Standard_JacobsenStoltzeNorskov_1996_Pd__MO_066802556726_001 view 2271
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 view 2783
MEAM_LAMMPS__MD_249792265679_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)
MEAM_LAMMPS_JeongLee_2020_PdC__MO_068985622065_001 view 3183
MEAM_LAMMPS_JeongParkDo_2018_PdAl__MO_616482358807_001 view 4744
MEAM_LAMMPS_JeongParkDo_2018_PdCo__MO_101997554790_001 view 5132
MEAM_LAMMPS_JeongParkDo_2018_PdCu__MO_353393547686_001 view 2934
MEAM_LAMMPS_JeongParkDo_2018_PdFe__MO_924736622203_001 view 5719
MEAM_LAMMPS_JeongParkDo_2018_PdMo__MO_356501945107_001 view 5261
MEAM_LAMMPS_JeongParkDo_2018_PdNi__MO_008996216289_001 view 3879
MEAM_LAMMPS_JeongParkDo_2018_PdTi__MO_086900950763_001 view 3342
MEAM_LAMMPS_KoLee_2013_VPdY__MO_046547823135_001 view 9359
MEAM_LAMMPS_LeeShimBaskes_2003_Pd__MO_307252285625_000 view 2684
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_XuWangQian_2022_NiPd__SM_559286646876_000 view 12188


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