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CohesiveEnergyVsLatticeConstant_diamond_C__TE_609752483801_002

Title
A single sentence description.
Cohesive energy versus lattice constant curve for diamond Carbon
Description This Test computes an energy vs. lattice constant curve for diamond Carbon. 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_C when paired against the Model being used.
Species
The supported atomic species.
C
Contributor karls
Maintainer karls
Author Daniel S. Karls
Publication Year 2018
Item Citation Click here to download a citation in BibTeX format.
Short KIM ID
The unique KIM identifier code.
TE_609752483801_002
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_C__TE_609752483801_002
Citable Link https://openkim.org/cite/TE_609752483801_002
KIM Item TypeTest
DriverCohesiveEnergyVsLatticeConstant__TD_554653289799_002
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_C__TE_609752483801_001


Models

No Driver
Model Test Results Link to Test Results page Benchmark time
Usertime muliplied 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_BOP_ZhouWardFoster_2015_CCu__SM_784926969362_000 view 4716
Sim_LAMMPS_EDIP_JiangMorganSzlufarska_2012_SiC__SM_435704953434_000 view 2952
Sim_LAMMPS_GW_GaoWeber_2002_SiC__SM_606253546840_000 view 2984
Sim_LAMMPS_GWZBL_Samolyuk_2016_SiC__SM_720598599889_000 view 2086
Sim_LAMMPS_LCBOP_LosFasolino_2003_C__SM_469631949122_000 view 4299
Sim_LAMMPS_MEAM_KimJungLee_2009_FeTiC__SM_531038274471_000 view 4909
Sim_LAMMPS_MEAM_LiyanageSeongGonHouze_2014_FeC__SM_652425777808_000 view 4043
Sim_LAMMPS_MEAM_Wagner_2007_SiC__SM_264944083668_000 view 3529
Sim_LAMMPS_TersoffZBL_DevanathanDiazdelaRubiaWeber_1998_SiC__SM_578912636995_000 view 2503
Sim_LAMMPS_TersoffZBL_HenrikssonBjorkasNordlund_2013_FeC__SM_473463498269_000 view 2535
Sim_LAMMPS_Vashishta_VashishtaKaliaNakano_2007_SiC__SM_196548226654_000 view 516
EAM_Dynamo__MD_120291908751_005
Model Test Results Link to Test Results page Benchmark time
Usertime muliplied 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_HepburnAckland_2008_FeC__MO_143977152728_005 view 11729





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