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LatticeConstantCubicEnergy_fcc_Mg__TE_950830542105_007

Title
A single sentence description.
Equilibrium zero-temperature lattice constant for fcc Mg v007
Description Equilibrium lattice constant and cohesive energy of fcc Mg at zero temperature and pressure.
Species
The supported atomic species.
Mg
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
Publication Year 2019
How to Cite

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

[1] Equilibrium zero-temperature lattice constant for fcc Mg v007. OpenKIM; 2019.

[2] 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_950830542105_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_fcc_Mg__TE_950830542105_007
Citable Link https://openkim.org/cite/TE_950830542105_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_fcc_Mg__TE_950830542105_006


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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_LiuAdams_1998_AlMg__MO_019873715786_000 view 3839
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EAM_Dynamo_MendelevAstaRahman_2009_AlMg__MO_658278549784_005 view 4191
EAM_Dynamo_SunMendelevBecker_2006_Mg__MO_848345414202_005 view 3935
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EAM_Dynamo_ZhouWadleyJohnson_2001NISTretabulation_Mg__MO_894868634445_000 view 3423
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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_IMD_BrommerBoissieuEuchner_2009_MgZn__MO_710767216198_003 view 4063
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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)
EMT_Asap_MetalGlass_BaileySchiotzJacobsen_2004_CuMg__MO_228059236215_001 view 3711
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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)
LJ_ElliottAkerson_2015_Universal__MO_959249795837_003 view 6462
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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)
MEAM_LAMMPS_AhmadGrohGhazisaeidi_2018_MgY__MO_135739722270_000 view 2464
MEAM_LAMMPS_DickelBaskesAslam_2018_MgAlZn__MO_093637366498_000 view 2537
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MEAM_LAMMPS_JelinekGrohHorstemeyer_2012_AlSiMgCuFe__MO_262519520678_000 view 3317
MEAM_LAMMPS_KimJeonLee_2015_MgCa__MO_611309973581_000 view 2811
MEAM_LAMMPS_KimJeonLee_2015_MgSn__MO_935641703527_000 view 2527
MEAM_LAMMPS_KimJeonLee_2015_MgY__MO_018428823000_000 view 2180
MEAM_LAMMPS_KimJungLee_2012_LiMg__MO_427397414195_000 view 2274
MEAM_LAMMPS_KimKimLee_2009_AlMg__MO_058537087384_000 view 2938
MEAM_LAMMPS_KimLee_2017_MgNd__MO_059320827436_000 view 1990
MEAM_LAMMPS_KimLee_2017_MgPb__MO_325675357262_000 view 2243
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 12028





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