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CohesiveEnergyVsLatticeConstant_fcc_Mg__TE_862062376018_003

Title
A single sentence description.
Cohesive energy versus lattice constant curve for fcc Mg v003
Description This Test computes an energy vs. lattice constant curve for fcc Mg. 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_fcc_Mg when paired against the Model being used.
Species
The supported atomic species.
Mg
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_862062376018_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_fcc_Mg__TE_862062376018_003
Citable Link https://openkim.org/cite/TE_862062376018_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_fcc_Mg__TE_862062376018_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_LiuAdams_1998_AlMg__MO_019873715786_000 view 2271
EAM_Dynamo_LiuOhotnickyAdams_1997_AlMg__MO_559870613549_000 view 1887
EAM_Dynamo_MendelevAstaRahman_2009_AlMg__MO_658278549784_005 view 4319
EAM_Dynamo_SunMendelevBecker_2006_Mg__MO_848345414202_005 view 2847
EAM_Dynamo_WilsonMendelev_2016_Mg__MO_574574915905_000 view 3007
EAM_Dynamo_ZhouJohnsonWadley_2004_Mg__MO_137404467969_005 view 2335
EAM_Dynamo_ZhouWadleyJohnson_2001NISTretabulation_Mg__MO_894868634445_000 view 2367
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_BrommerBoissieuEuchner_2009_MgZn__MO_710767216198_003 view 6078
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_MetalGlass_BaileySchiotzJacobsen_2004_CuMg__MO_228059236215_001 view 2143
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 2687
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_AhmadGrohGhazisaeidi_2018_MgY__MO_135739722270_001 view 5938
MEAM_LAMMPS_DickelBaskesAslam_2018_MgAlZn__MO_093637366498_001 view 10772
MEAM_LAMMPS_JangKimLee_2018_ZnMg__MO_474962707676_001 view 4883
MEAM_LAMMPS_JangSeolLee_2019_CaZnMg__MO_708495328010_001 view 7499
MEAM_LAMMPS_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__MO_262519520678_001 view 19713
MEAM_LAMMPS_KimJeonLee_2015_MgCa__MO_611309973581_001 view 5222
MEAM_LAMMPS_KimJeonLee_2015_MgSn__MO_935641703527_001 view 5838
MEAM_LAMMPS_KimJeonLee_2015_MgY__MO_018428823000_001 view 6137
MEAM_LAMMPS_KimJungLee_2012_LiMg__MO_427397414195_001 view 7370
MEAM_LAMMPS_KimKimLee_2009_AlMg__MO_058537087384_001 view 7430
MEAM_LAMMPS_KimLee_2017_MgNd__MO_059320827436_001 view 6157
MEAM_LAMMPS_KimLee_2017_MgPb__MO_325675357262_001 view 5411
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_SmirnovaStarikovVlasova_2018_MgH__SM_899925688973_000 view 3193
Sim_LAMMPS_MEAM_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__SM_656517352485_000 view 8989





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