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LatticeConstant2DHexagonalEnergy_Graphene__TE_638394465817_001

Title
A single sentence description.
Cohesive energy and equilibrium lattice constant of graphene
Description This Test uses LAMMPS to compute the cohesive energy and lattice constant of graphene using conjugate gradient minimization with an initial guess of 2.5 Angstroms for the equilibrium lattice constant.
Species
The supported atomic species.
C
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Contributor I Nikiforov
Maintainer I Nikiforov
Published on KIM 2018
How to Cite Click here to download this citation in BibTeX format.
Funding Not available
Short KIM ID
The unique KIM identifier code.
TE_638394465817_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.
LatticeConstant2DHexagonalEnergy_Graphene__TE_638394465817_001
Citable Link https://openkim.org/cite/TE_638394465817_001
KIM Item TypeTest
DriverLatticeConstant2DHexagonalEnergy__TD_034540307932_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 LatticeConstant2DHexagonalEnergy_Graphene__TE_638394465817_000


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 110
Tersoff_LAMMPS__MD_077075034781_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)
Tersoff_LAMMPS_AlbeNordlundAverback_2002_PtC__MO_500121566391_002 view 417
Tersoff_LAMMPS_ErhartAlbe_2005_SiC__MO_903987585848_003 view 578
Tersoff_LAMMPS_ErhartAlbe_2005SiII_SiC__MO_408791041969_002 view 449
Tersoff_LAMMPS_Tersoff_1988_C__MO_579868029681_002 view 610
Tersoff_LAMMPS_Tersoff_1989_SiC__MO_171585019474_002 view 449
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_BOP_ZhouWardFoster_2015_CCu__SM_784926969362_000 view 387
Sim_LAMMPS_EDIP_JiangMorganSzlufarska_2012_SiC__SM_435704953434_000 view 2535
Sim_LAMMPS_GW_GaoWeber_2002_SiC__SM_606253546840_000 view 2310
Sim_LAMMPS_GWZBL_Samolyuk_2016_SiC__SM_720598599889_000 view 387
Sim_LAMMPS_LCBOP_LosFasolino_2003_C__SM_469631949122_000 view 3112
Sim_LAMMPS_MEAM_KimJungLee_2009_FeTiC__SM_531038274471_000 view 3144
Sim_LAMMPS_MEAM_LiyanageSeongGonHouze_2014_FeC__SM_652425777808_000 view 2984
Sim_LAMMPS_MEAM_Wagner_2007_SiC__SM_264944083668_000 view 3241
Sim_LAMMPS_TersoffZBL_DevanathanDiazdelaRubiaWeber_1998_SiC__SM_578912636995_000 view 2406
Sim_LAMMPS_TersoffZBL_HenrikssonBjorkasNordlund_2013_FeC__SM_473463498269_000 view 3112
Sim_LAMMPS_Vashishta_VashishtaKaliaNakano_2007_SiC__SM_196548226654_000 view 548





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