| Title
A single sentence description.
|
Cohesive energy versus lattice constant curve for fcc Molybdenum |
|---|---|
| Description | This Test computes an energy vs. lattice constant curve for fcc Molybdenum. The curve is computed for lattice constants ranging from 0.8*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_Mo when paired against the Model being used. |
| Species
The supported atomic species.
| Mo |
| 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 |
| Published on KIM | 2018 |
| How to Cite | Click here to download this citation in BibTeX format. |
| Funding | Not available |
| Short KIM ID
The unique KIM identifier code.
| TE_408532402297_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.
| CohesiveEnergyVsLatticeConstant_fcc_Mo__TE_408532402297_002 |
| Citable Link | https://openkim.org/cite/TE_408532402297_002 |
| KIM Item Type | Test |
| Driver | CohesiveEnergyVsLatticeConstant__TD_554653289799_002 |
| Properties
Properties as defined in kimspec.edn.
These properties are inhereted from the Test Driver.
| |
| KIM API Version | 2.0 |
| 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 | CohesiveEnergyVsLatticeConstant_fcc_Mo__TE_408532402297_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) |
|---|---|---|---|
| EAM_Dynamo_SmirnovaKuskinStarikov_2013_UMoXe__MO_679329885632_005 | view | 1829 | |
| EAM_Dynamo_ZhouJohnsonWadley_2004_Mo__MO_271256517527_005 | view | 1797 | |
| EAM_Dynamo_ZhouWadleyJohnson_2001NISTretabulation_Mo__MO_230319944007_000 | view | 1604 |
| 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) |
|---|---|---|---|
| EAM_MagneticCubic_DerletNguyenDudarev_2007_Mo__MO_424746498193_002 | view | 1604 |
| 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 | 1572 |
| 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_GirifalcoWeizer_1959HighCutoff_Mo__MO_666830945336_002 | view | 1636 | |
| Morse_Shifted_GirifalcoWeizer_1959LowCutoff_Mo__MO_228581001644_002 | view | 1733 | |
| Morse_Shifted_GirifalcoWeizer_1959MedCutoff_Mo__MO_534363225491_002 | view | 1540 |
| 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_MX2_WenShirodkarPlechac_2017_MoS__MO_201919462778_001 | view | 1476 |
| 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_StarikovKolotovaKuksin_2017_UMo__SM_682749584055_000 | view | 3241 | |
| Sim_LAMMPS_MEAM_ParkFellingerLenosky_2012_Mo__SM_769176993156_000 | view | 2888 | |
| Sim_LAMMPS_SNAP_ChenDengTran_2017_Mo__SM_003882782678_000 | view | 4203 |
| CohesiveEnergyVsLatticeConstant_fcc_Mo__TE_408532402297_002.txz | Tar+XZ | Linux and OS X archive |
| CohesiveEnergyVsLatticeConstant_fcc_Mo__TE_408532402297_002.zip | Zip | Windows archive |
This Test requires a Test Driver. Archives for the Test Driver CohesiveEnergyVsLatticeConstant__TD_554653289799_002 appear below.
| CohesiveEnergyVsLatticeConstant__TD_554653289799_002.txz | Tar+XZ | Linux and OS X archive |
| CohesiveEnergyVsLatticeConstant__TD_554653289799_002.zip | Zip | Windows archive |