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LatticeConstantCubicEnergy_diamond_Si__TE_849680434885_007

Title
A single sentence description.
Equilibrium zero-temperature lattice constant for diamond Si v007
Description Equilibrium lattice constant and cohesive energy of diamond Si at zero temperature and pressure.
Species
The supported atomic species.
Si
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
This Test was computer-generated
Contributor Daniel S. Karls
Maintainer Daniel S. Karls
Published on KIM 2019
How to Cite

This Test is archived in OpenKIM [1-4].

[1] Karls DS, Li J. Equilibrium zero-temperature lattice constant for diamond Si v007 [Internet]. OpenKIM; 2019. Available from: https://openkim.org/cite/TE_849680434885_007

[2] Karls DS, Li J. Equilibrium lattice constant and cohesive energy of a cubic lattice at zero temperature and pressure v007. OpenKIM; 2019. doi:10.25950/2765e3bf

[3] Tadmor EB, Elliott RS, Sethna JP, Miller RE, Becker CA. The potential of atomistic simulations and the Knowledgebase of Interatomic Models. JOM. 2011;63(7):17. doi:10.1007/s11837-011-0102-6

[4] Elliott RS, Tadmor EB. Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API). OpenKIM; 2011. doi:10.25950/ff8f563a

Click here to download the above citation in BibTeX format.
Funding Not available
Short KIM ID
The unique KIM identifier code.
TE_849680434885_007
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.
LatticeConstantCubicEnergy_diamond_Si__TE_849680434885_007
Citable Link https://openkim.org/cite/TE_849680434885_007
KIM Item TypeTest
DriverLatticeConstantCubicEnergy__TD_475411767977_007
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.
ase
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 LatticeConstantCubicEnergy_diamond_Si__TE_849680434885_006


EDIP_LAMMPS__MD_783584031339_000
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)
EDIP_LAMMPS_JiangMorganSzlufarska_2012_SiC__MO_667792548433_000 view 9866
EDIP_LAMMPS_LucasBertolusPizzagalli_2009_SiC__MO_634310164305_000 view 8474
EDIP__MD_506186535567_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)
EDIP_JustoBazantKaxiras_1998_Si__MO_958932894036_002 view 2943
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 8509
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_AslamBaskesDickel_2019_FeMnSiC__MO_427873955970_002 view 50798
MEAM_LAMMPS_CuiGaoCui_2012_LiSi__MO_557492625287_002 view 24706
MEAM_LAMMPS_DuLenoskyHennig_2011_Si__MO_883726743759_002 view 21939
MEAM_LAMMPS_HuangDongLiu_2018_Si__MO_050147023220_002 view 16491
MEAM_LAMMPS_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__MO_262519520678_002 view 51013
MEAM_LAMMPS_KangEunJun_2014_SiC__MO_477506997611_002 view 8393
MEAM_LAMMPS_Lee_2007_Si__MO_774917820956_001 view 9936
MEAM_LAMMPS_LenoskySadighAlonso_2000_Si__MO_533426548156_002 view 14503
MEAM_LAMMPS_Wagner_2007_SiC__MO_430846853065_002 view 9865
MFF__MD_514777050453_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)
MFF_MistriotisFlytzanisFarantos_1989_Si__MO_080526771943_001 view 8349
SNAP__MD_536750310735_000
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)
SNAP_ZuoChenLi_2019_Si__MO_869330304805_000 view 3133
SNAP_ZuoChenLi_2019quadratic_Si__MO_721469752060_000 view 4574
SW__MD_335816936951_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)
SW_BalamaneHaliciogluTiller_1992_Si__MO_113686039439_005 view 1848
SW_BalamaneHauchShi_2017Brittle_Si__MO_381114941873_003 view 1880
SW_HauchHollandMarder_1999Brittle_Si__MO_119167353542_005 view 1942
SW_LeeHwang_2012GGA_Si__MO_040570764911_001 view 2287
SW_LeeHwang_2012LDA_Si__MO_517338295712_001 view 1880
SW_StillingerWeber_1985_Si__MO_405512056662_006 view 1754
SW_ZhangXieHu_2014OptimizedSW1_Si__MO_800412945727_005 view 1880
SW_ZhangXieHu_2014OptimizedSW2_Si__MO_475612090600_005 view 1880
Tersoff_LAMMPS__MD_077075034781_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)
Tersoff_LAMMPS_ErhartAlbe_2005_SiC__MO_903987585848_005 view 3541
Tersoff_LAMMPS_MunetohMotookaMoriguchi_2007_SiO__MO_501246546792_000 view 10125
Tersoff_LAMMPS_PlummerTucker_2019_TiSiC__MO_751442731010_000 view 3466
Tersoff_LAMMPS_Tersoff_1988T2_Si__MO_245095684871_004 view 5669
Tersoff_LAMMPS_Tersoff_1988T3_Si__MO_186459956893_004 view 5080
Tersoff_LAMMPS_Tersoff_1989_SiC__MO_171585019474_004 view 5227
Tersoff_LAMMPS_Tersoff_1989_SiGe__MO_350526375143_004 view 7068
Tersoff_LAMMPS_Tersoff_1990_SiC__MO_444207127575_000 view 9419
Tersoff_LAMMPS_Tersoff_1994_SiC__MO_794973922560_000 view 9707
ThreeBodyBondOrder_KDS__MD_697985444380_000
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)
ThreeBodyBondOrder_KDS_KhorDasSarma_1988_Si__MO_722489435928_000 view 2079
ThreeBodyBondOrder_PPM__MD_184422512875_000
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)
ThreeBodyBondOrder_PPM_PurjaPunMishin_2017_Si__MO_566683736730_000 view 3103
ThreeBodyBondOrder_WR__MD_817691861922_000
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)
ThreeBodyBondOrder_WR_WangRockett_1991_Si__MO_081872846741_000 view 3455
ThreeBodyCluster_BH__MD_043141570610_000
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)
ThreeBodyCluster_BH_BiswasHamann_1987_Si__MO_019616213550_000 view 4574
ThreeBodyCluster_Gong__MD_065419309200_000
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)
ThreeBodyCluster_Gong_Gong_1993_Si__MO_407755720412_000 view 3487
ThreeBodyCluster_KP__MD_527786671773_000
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)
ThreeBodyCluster_KP_KaxirasPandey_1988_Si__MO_072486242437_000 view 5758
ThreeBodyCluster_SRS__MD_814842199451_000
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)
ThreeBodyCluster_SRS_StephensonRadnySmith_1996_Si__MO_604248666067_000 view 3327
TorchML__MD_173118614730_000
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)
TorchML_NequIP_GuptaTadmorMartiniani_2024_Si__MO_196181738937_000 view 182178271
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_StarikovGordeevLysogorskiy_2020_SiAuAl__SM_113843830602_000 view 6507
Sim_LAMMPS_ADP_StarikovLopanitsynaSmirnova_2018_SiAu__SM_985135773293_000 view 9277
Sim_LAMMPS_EDIP_JiangMorganSzlufarska_2012_SiC__SM_435704953434_000 view 7709
Sim_LAMMPS_GW_GaoWeber_2002_SiC__SM_606253546840_000 view 6494
Sim_LAMMPS_GWZBL_Samolyuk_2016_SiC__SM_720598599889_000 view 7549
Sim_LAMMPS_MEAM_CuiGaoCui_2012_LiSi__SM_562938628131_000 view 3740
Sim_LAMMPS_MEAM_DuLenoskyHennig_2011_Si__SM_662785656123_000 view 7997
Sim_LAMMPS_MEAM_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__SM_656517352485_000 view 11324
Sim_LAMMPS_MEAM_LenoskySadighAlonso_2000_Si__SM_622320990752_000 view 8125
Sim_LAMMPS_MEAM_Wagner_2007_SiC__SM_264944083668_000 view 8861
Sim_LAMMPS_ModifiedTersoff_KumagaiIzumiHara_2007_Si__SM_773333226968_000 view 7613
Sim_LAMMPS_ModifiedTersoff_PurjaPunMishin_2017_Si__SM_184524061456_000 view 8701
Sim_LAMMPS_ReaxFF_BrugnoliMiyataniAkaji_SiCeNaClHO_2023__SM_282799919035_000 view 54876
Sim_LAMMPS_ReaxFF_ManzanoMoeiniMarinelli_2012_CaSiOH__SM_714124634215_000 view 61620
Sim_LAMMPS_TersoffZBL_DevanathanDiazdelaRubiaWeber_1998_SiC__SM_578912636995_000 view 7933
Tersoff_LAMMPS_ErhartAlbe_2005SiII_SiC__MO_408791041969_004 view 4100





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