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StackingFaultFccCrystal_0bar_Ar__TE_091608566333_002

Title
A single sentence description.
Stacking and twinning fault energies for fcc Ar v002
Description Intrinsic and extrinsic stacking fault energies, unstable stacking fault energy, unstable twinning energy, stacking fault energy as a function of fractional displacement, and gamma surface for fcc Ar at zero temperature and pressure.
Species
The supported atomic species.
Ar
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Contributor Subrahmanyam Pattamatta
Maintainer Subrahmanyam Pattamatta
Published on KIM 2019
How to Cite

This Test originally published in [1] is archived in OpenKIM [2-5].

[1] Bernstein N, Tadmor EB. Tight-binding calculations of stacking energies and twinnability in fcc metals. Physical Review B. 2004Mar;69(9):094116. doi:10.1103/PhysRevB.69.094116

[2] Pattamatta S. Stacking and twinning fault energies for fcc Ar v002 [Internet]. OpenKIM; 2019. Available from: https://openkim.org/cite/TE_091608566333_002

[3] Pattamatta S. Stacking and twinning fault energies of an fcc lattice at zero temperature and pressure v002. OpenKIM; 2019. doi:10.25950/b4cfaf9a

[4] 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

[5] 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_091608566333_002
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.
StackingFaultFccCrystal_0bar_Ar__TE_091608566333_002
Citable Link https://openkim.org/cite/TE_091608566333_002
KIM Item TypeTest
DriverStackingFaultFccCrystal__TD_228501831190_002
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 StackingFaultFccCrystal_0bar_Ar__TE_091608566333_001


LJ_Shifted__MD_498634107543_004
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_Shifted_Bernardes_1958HighCutoff_Ar__MO_242741380554_004 view 63949664
LJ_Shifted_Bernardes_1958LowCutoff_Ar__MO_720819638419_004 view 10574172
LJ_Shifted_Bernardes_1958MedCutoff_Ar__MO_126566794224_004 view 25448417
LJ_Smoothed__MD_716364606252_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)
LJ_Smoothed_Bernardes_1958_Ar__MO_764178710049_001 view 5344658
LJ_Truncated__MD_132729421025_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)
LJ_Truncated_Nguyen_2005_Ar__MO_398194508715_001 view 782195
Morse_QuinticSmoothed__MD_093895395358_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)
Morse_QuinticSmoothed_Jelinek_1972_Ar__MO_908645784389_002 view 4533673
Morse_Shifted__MD_552566534109_004
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)
Morse_Shifted_Jelinek_1972_Ar__MO_831902330215_004 view 7851767
Morse_SigmoidalSmoothed__MD_199191711608_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)
Morse_SigmoidalSmoothed_Jelinek_1972_Ar__MO_071460865933_002 view 48975191
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)
Exp6_KongChakrabarty_1973_ArNe__MO_946046425752_002 view 6105133





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