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LinearThermalExpansionCoeffCubic_diamond_Si__TE_782453122212_001

Title
A single sentence description.
Linear thermal expansion coefficient of diamond Si at 293.15 K under a pressure of 0 MPa v001
Description Linear thermal expansion coefficient of a diamond lattice of Si atoms at a temperature of 293.15 K under a pressure of 0 MPa.
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 Mwen
Maintainer Mwen
Author Mingjian Wen
Publication Year 2019
Item Citation

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

[1] Wen M. Linear thermal expansion coefficient of diamond Si at 293.15 K under a pressure of 0 MPa v001. OpenKIM; 2019.

[2] Wen M. Linear thermal expansion coefficient of cubic crystal structures v001. OpenKIM; 2019. doi:10.25950/fc69d82d

[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.
Short KIM ID
The unique KIM identifier code.
TE_782453122212_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.
LinearThermalExpansionCoeffCubic_diamond_Si__TE_782453122212_001
Citable Link https://openkim.org/cite/TE_782453122212_001
KIM Item TypeTest
DriverLinearThermalExpansionCoeffCubic__TD_522633393614_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 LinearThermalExpansionCoeffCubic_diamond_Si__TE_782453122212_000


Models

EDIP__MD_506186535567_002
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)
EDIP_JustoBazantKaxiras_1998_Si__MO_958932894036_002 view 5470311
MFF__MD_514777050453_001
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)
MFF_MistriotisFlytzanisFarantos_1989_Si__MO_080526771943_001 view 27466043
SW__MD_335816936951_004
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)
SW_BalamaneHaliciogluTiller_1992_Si__MO_113686039439_004 view 21711446
SW_BalamaneHauchShi_2017Brittle_Si__MO_381114941873_002 view 30468083
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SW_LeeHwang_2012GGA_Si__MO_040570764911_000 view 13625651
SW_LeeHwang_2012LDA_Si__MO_517338295712_000 view 16809804
SW_StillingerWeber_1985_Si__MO_405512056662_005 view 25059671
SW_ZhangXieHu_2014OptimizedSW1_Si__MO_800412945727_004 view 7970987
SW_ZhangXieHu_2014OptimizedSW2_Si__MO_475612090600_004 view 16307224
Tersoff_LAMMPS__MD_077075034781_003
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)
Tersoff_LAMMPS_ErhartAlbe_2005_SiC__MO_903987585848_003 view 11952338
Tersoff_LAMMPS_ErhartAlbe_2005SiII_SiC__MO_408791041969_002 view 9850053
Tersoff_LAMMPS_Tersoff_1988T2_Si__MO_245095684871_002 view 27940536
Tersoff_LAMMPS_Tersoff_1988T3_Si__MO_186459956893_002 view 7840248
Tersoff_LAMMPS_Tersoff_1989_SiC__MO_171585019474_002 view 11349569
Tersoff_LAMMPS_Tersoff_1989_SiGe__MO_350526375143_002 view 11333703
ThreeBodyBondOrder_PPM__MD_184422512875_000
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)
ThreeBodyBondOrder_PPM_PurjaPunMishin_2017_Si__MO_566683736730_000 view 16397273
ThreeBodyCluster_Gong__MD_065419309200_000
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)
ThreeBodyCluster_Gong_Gong_1993_Si__MO_407755720412_000 view 4836737
ThreeBodyCluster_SRS__MD_814842199451_000
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)
ThreeBodyCluster_SRS_StephensonRadnySmith_1996_Si__MO_604248666067_000 view 7006615
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_MEAM_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__SM_656517352485_000 view 11531875
Sim_LAMMPS_ModifiedTersoff_PurjaPunMishin_2017_Si__SM_184524061456_000 view 18462995





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