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CohesiveEnergyVsLatticeConstant_fcc_Si__TE_153579645116_004

Title
A single sentence description.
Cohesive energy versus lattice constant curve for fcc Si v004
Description This Test computes an energy vs. lattice constant curve for fcc Si. The curve is computed for lattice constants ranging from 0.5*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_Si when paired against the Model being used.
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.
None
Contributor Daniel S. Karls
Maintainer Daniel S. Karls
Developer Daniel S. Karls
Published on KIM 2022
How to Cite

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

[1] Karls DS. Cohesive energy versus lattice constant curve for fcc Si v004 [Internet]. OpenKIM; 2022. Available from: https://openkim.org/cite/TE_153579645116_004

[2] Karls DS. Cohesive energy versus lattice constant curve for monoatomic cubic lattices v003. OpenKIM; 2019. doi:10.25950/64cb38c5

[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_153579645116_004
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_Si__TE_153579645116_004
Citable Link https://openkim.org/cite/TE_153579645116_004
KIM Item TypeTest
DriverCohesiveEnergyVsLatticeConstant__TD_554653289799_003
Properties
Properties as defined in kimspec.edn. These properties are inhereted from the Test Driver.
KIM API Version2.2
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_Si__TE_153579645116_003


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 2675
EDIP_LAMMPS_JustoBazantKaxiras_1998_Si__MO_315965276297_000 view 12221
EDIP_LAMMPS_LucasBertolusPizzagalli_2009_SiC__MO_634310164305_000 view 3092
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 2029
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 1767
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 20489
MEAM_LAMMPS_CuiGaoCui_2012_LiSi__MO_557492625287_002 view 8633
MEAM_LAMMPS_DuLenoskyHennig_2011_Si__MO_883726743759_002 view 3083
MEAM_LAMMPS_HuangDongLiu_2018_Si__MO_050147023220_002 view 3460
MEAM_LAMMPS_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__MO_262519520678_002 view 28123
MEAM_LAMMPS_KangEunJun_2014_SiC__MO_477506997611_002 view 4028
MEAM_LAMMPS_Lee_2007_Si__MO_774917820956_001 view 3332
MEAM_LAMMPS_LenoskySadighAlonso_2000_Si__MO_533426548156_002 view 2765
MEAM_LAMMPS_Wagner_2007_SiC__MO_430846853065_002 view 3313
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 3976
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 5006
SNAP_ZuoChenLi_2019quadratic_Si__MO_721469752060_000 view 5448
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 2282
SW_BalamaneHauchShi_2017Brittle_Si__MO_381114941873_003 view 2198
SW_HauchHollandMarder_1999Brittle_Si__MO_119167353542_005 view 2148
SW_LeeHwang_2012GGA_Si__MO_040570764911_001 view 2208
SW_LeeHwang_2012LDA_Si__MO_517338295712_001 view 2429
SW_StillingerWeber_1985_Si__MO_405512056662_006 view 2069
SW_ZhangXieHu_2014OptimizedSW1_Si__MO_800412945727_005 view 2109
SW_ZhangXieHu_2014OptimizedSW2_Si__MO_475612090600_005 view 2118
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 2516
Tersoff_LAMMPS_ErhartAlbe_2005SiII_SiC__MO_408791041969_004 view 2467
Tersoff_LAMMPS_MunetohMotookaMoriguchi_2007_SiO__MO_501246546792_000 view 2536
Tersoff_LAMMPS_PlummerTucker_2019_TiSiC__MO_751442731010_000 view 2576
Tersoff_LAMMPS_Tersoff_1988T2_Si__MO_245095684871_004 view 2503
Tersoff_LAMMPS_Tersoff_1988T3_Si__MO_186459956893_004 view 2248
Tersoff_LAMMPS_Tersoff_1989_SiC__MO_171585019474_004 view 2650
Tersoff_LAMMPS_Tersoff_1989_SiGe__MO_350526375143_004 view 2503
Tersoff_LAMMPS_Tersoff_1990_SiC__MO_444207127575_000 view 2307
Tersoff_LAMMPS_Tersoff_1994_SiC__MO_794973922560_000 view 2397
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 2503
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 2367
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 3481
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 2135
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 2864
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 2061
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 1738843
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 7804
Sim_LAMMPS_ADP_StarikovLopanitsynaSmirnova_2018_SiAu__SM_985135773293_000 view 3690
Sim_LAMMPS_EDIP_LucasBertolusPizzagalli_2009_SiC__SM_435704953434_000 view 1914
Sim_LAMMPS_MEAM_CuiGaoCui_2012_LiSi__SM_562938628131_000 view 5448
Sim_LAMMPS_MEAM_DuLenoskyHennig_2011_Si__SM_662785656123_000 view 1820
Sim_LAMMPS_MEAM_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__SM_656517352485_000 view 15347
Sim_LAMMPS_MEAM_LenoskySadighAlonso_2000_Si__SM_622320990752_000 view 1914
Sim_LAMMPS_MEAM_Wagner_2007_SiC__SM_264944083668_000 view 2079
Sim_LAMMPS_ModifiedTersoff_KumagaiIzumiHara_2007_Si__SM_773333226968_000 view 1914
Sim_LAMMPS_ModifiedTersoff_PurjaPunMishin_2017_Si__SM_184524061456_000 view 1750
Sim_LAMMPS_ReaxFF_BrugnoliMiyataniAkaji_SiCeNaClHO_2023__SM_282799919035_000 view 21497
Sim_LAMMPS_ReaxFF_ManzanoMoeiniMarinelli_2012_CaSiOH__SM_714124634215_000 view 11846
Sim_LAMMPS_TersoffZBL_DevanathanDiazdelaRubiaWeber_1998_SiC__SM_578912636995_000 view 1780





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