Jump to: Tests | Visualizers | Files | Wiki

EAM_Dynamo_ZhouFosterSills_2018_FeNiCr__MO_036303866285_000

Interatomic potential for Chromium (Cr), Iron (Fe), Nickel (Ni).
Use this Potential

Title
A single sentence description.
EAM potential (LAMMPS cubic hermite tabulation) for Fe-Ni-Cr developed by Zhou, Foster and Sills (2018) v000
Description
A short description of the Model describing its key features including for example: type of model (pair potential, 3-body potential, EAM, etc.), modeled species (Ac, Ag, ..., Zr), intended purpose, origin, and so on.
Developed using density functional theory as a guide, this potential has been demonstrated to enable stable molecular dynamics simulations of stainless‐steel alloys at high temperatures, accurately reproduce the stacking fault energy-known to strongly influence the mode of plastic deformation (e.g., twinning vs. dislocation glide vs. cross‐slip)-of these alloys over a range of compositions, and give reasonable elastic constants, energies, and volumes for various compositions. The latter are pertinent for determining short‐range order and solute strengthening effects. These results suggest that this potential is suitable for studying mechanical properties of austenitic and ferritic stainless‐steels which have vast implementation in the scientific and industrial communities.
Species
The supported atomic species.
Cr, Fe, Ni
Disclaimer
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
None
Content Origin https://www.ctcms.nist.gov/potentials/entry/2018--Zhou-X-W-Foster-M-E-Sills-R-B--Fe-Ni-Cr/
Contributor I Nikiforov
Maintainer I Nikiforov
Developer Xiaowang Zhou
Michael E. Foster
Ryan B Sills
Published on KIM 2022
How to Cite

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

[1] Zhou XW, Foster ME, Sills RB. An Fe-Ni-Cr embedded atom method potential for austenitic and ferritic systems. Journal of Computational Chemistry [Internet]. 2018;39(29):2420–31. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.25573 doi:10.1002/jcc.25573 — (Primary Source) A primary source is a reference directly related to the item documenting its development, as opposed to other sources that are provided as background information.

[2] Zhou X, Foster ME, Sills RB. EAM potential (LAMMPS cubic hermite tabulation) for Fe-Ni-Cr developed by Zhou, Foster and Sills (2018) v000. OpenKIM; 2022. doi:10.25950/e28aaa47

[3] Foiles SM, Baskes MI, Daw MS, Plimpton SJ. EAM Model Driver for tabulated potentials with cubic Hermite spline interpolation as used in LAMMPS v005. OpenKIM; 2018. doi:10.25950/68defa36

[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.
Citations

This panel presents information regarding the papers that have cited the interatomic potential (IP) whose page you are on.

The OpenKIM machine learning based Deep Citation framework is used to determine whether the citing article actually used the IP in computations (denoted by "USED") or only provides it as a background citation (denoted by "NOT USED"). For more details on Deep Citation and how to work with this panel, click the documentation link at the top of the panel.

The word cloud to the right is generated from the abstracts of IP principle source(s) (given below in "How to Cite") and the citing articles that were determined to have used the IP in order to provide users with a quick sense of the types of physical phenomena to which this IP is applied.

The bar chart shows the number of articles that cited the IP per year. Each bar is divided into green (articles that USED the IP) and blue (articles that did NOT USE the IP).

Users are encouraged to correct Deep Citation errors in determination by clicking the speech icon next to a citing article and providing updated information. This will be integrated into the next Deep Citation learning cycle, which occurs on a regular basis.

OpenKIM acknowledges the support of the Allen Institute for AI through the Semantic Scholar project for providing citation information and full text of articles when available, which are used to train the Deep Citation ML algorithm.

This panel provides information on past usage of this interatomic potential (IP) powered by the OpenKIM Deep Citation framework. The word cloud indicates typical applications of the potential. The bar chart shows citations per year of this IP (bars are divided into articles that used the IP (green) and those that did not (blue)). The complete list of articles that cited this IP is provided below along with the Deep Citation determination on usage. See the Deep Citation documentation for more information.

Help us to determine which of the papers that cite this potential actually used it to perform calculations. If you know, click the  .
Funding Funder: Sandia National Laboratories

Short KIM ID
The unique KIM identifier code.
MO_036303866285_000
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.
EAM_Dynamo_ZhouFosterSills_2018_FeNiCr__MO_036303866285_000
DOI 10.25950/e28aaa47
https://doi.org/10.25950/e28aaa47
https://commons.datacite.org/doi.org/10.25950/e28aaa47
KIM Item Type
Specifies whether this is a Portable Model (software implementation of an interatomic model); Portable Model with parameter file (parameter file to be read in by a Model Driver); Model Driver (software implementation of an interatomic model that reads in parameters).
Portable Model using Model Driver EAM_Dynamo__MD_120291908751_005
DriverEAM_Dynamo__MD_120291908751_005
KIM API Version2.2
Potential Type eam
Programming Language(s)
The programming languages used in the code and the percentage of the code written in each one. "N/A" means "not applicable" and refers to model parameterizations which only include parameter tables and have no programming language.
N/A

(Click here to learn more about Verification Checks)

Grade Name Category Brief Description Full Results Aux File(s)
P vc-species-supported-as-stated mandatory
The model supports all species it claims to support; see full description.
Results Files
P vc-periodicity-support mandatory
Periodic boundary conditions are handled correctly; see full description.
Results Files
P vc-permutation-symmetry mandatory
Total energy and forces are unchanged when swapping atoms of the same species; see full description.
Results Files
F vc-dimer-continuity-c1 informational
The energy versus separation relation of a pair of atoms is C1 continuous (i.e. the function and its first derivative are continuous); see full description.
Results Files
P vc-objectivity informational
Total energy is unchanged and forces transform correctly under rigid-body translation and rotation; see full description.
Results Files
P vc-inversion-symmetry informational
Total energy is unchanged and forces change sign when inverting a configuration through the origin; see full description.
Results Files
N/A vc-memory-leak informational
The model code does not have memory leaks (i.e. it releases all allocated memory at the end); see full description.
Results Files
P vc-thread-safe mandatory
The model returns the same energy and forces when computed in serial and when using parallel threads for a set of configurations. Note that this is not a guarantee of thread safety; see full description.
Results Files
P vc-unit-conversion mandatory
The model is able to correctly convert its energy and/or forces to different unit sets; see full description.
Results Files


BCC Lattice Constant

This bar chart plot shows the mono-atomic body-centered cubic (bcc) lattice constant predicted by the current model (shown in the unique color) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Ni
Species: Fe
Species: Cr


Cohesive Energy Graph

This graph shows the cohesive energy versus volume-per-atom for the current mode for four mono-atomic cubic phases (body-centered cubic (bcc), face-centered cubic (fcc), simple cubic (sc), and diamond). The curve with the lowest minimum is the ground state of the crystal if stable. (The crystal structure is enforced in these calculations, so the phase may not be stable.) Graphs are generated for each species supported by the model.

Species: Fe
Species: Cr
Species: Ni


Diamond Lattice Constant

This bar chart plot shows the mono-atomic face-centered diamond lattice constant predicted by the current model (shown in the unique color) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Fe
Species: Cr
Species: Ni


Dislocation Core Energies

This graph shows the dislocation core energy of a cubic crystal at zero temperature and pressure for a specific set of dislocation core cutoff radii. After obtaining the total energy of the system from conjugate gradient minimizations, non-singular, isotropic and anisotropic elasticity are applied to obtain the dislocation core energy for each of these supercells with different dipole distances. Graphs are generated for each species supported by the model.

(No matching species)

FCC Elastic Constants

This bar chart plot shows the mono-atomic face-centered cubic (fcc) elastic constants predicted by the current model (shown in blue) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Ni
Species: Fe
Species: Cr


FCC Lattice Constant

This bar chart plot shows the mono-atomic face-centered cubic (fcc) lattice constant predicted by the current model (shown in red) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Ni
Species: Cr
Species: Fe


FCC Stacking Fault Energies

This bar chart plot shows the intrinsic and extrinsic stacking fault energies as well as the unstable stacking and unstable twinning energies for face-centered cubic (fcc) predicted by the current model (shown in blue) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Ni


FCC Surface Energies

This bar chart plot shows the mono-atomic face-centered cubic (fcc) relaxed surface energies predicted by the current model (shown in blue) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Ni


SC Lattice Constant

This bar chart plot shows the mono-atomic simple cubic (sc) lattice constant predicted by the current model (shown in the unique color) compared with the predictions for all other models in the OpenKIM Repository that support the species. The vertical bars show the average and standard deviation (one sigma) bounds for all model predictions. Graphs are generated for each species supported by the model.

Species: Fe
Species: Cr
Species: Ni


Cubic Crystal Basic Properties Table

Species: Cr

Species: Fe

Species: Ni





Cohesive energy versus lattice constant curve for monoatomic cubic lattices v003

Creators:
Contributor: karls
Publication Year: 2019
DOI: https://doi.org/10.25950/64cb38c5

This Test Driver uses LAMMPS to compute the cohesive energy of a given monoatomic cubic lattice (fcc, bcc, sc, or diamond) at a variety of lattice spacings. The lattice spacings range from a_min (=a_min_frac*a_0) to a_max (=a_max_frac*a_0) where a_0, a_min_frac, and a_max_frac are read from stdin (a_0 is typically approximately equal to the equilibrium lattice constant). The precise scaling and number of lattice spacings sampled between a_min and a_0 (a_0 and a_max) is specified by two additional parameters passed from stdin: N_lower and samplespacing_lower (N_upper and samplespacing_upper). Please see README.txt for further details.
Test 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)
Cohesive energy versus lattice constant curve for bcc Cr v004 view 4734
Cohesive energy versus lattice constant curve for bcc Fe v004 view 8908
Cohesive energy versus lattice constant curve for bcc Ni v004 view 9430
Cohesive energy versus lattice constant curve for diamond Cr v004 view 5440
Cohesive energy versus lattice constant curve for diamond Fe v004 view 6326
Cohesive energy versus lattice constant curve for diamond Ni v004 view 6515
Cohesive energy versus lattice constant curve for fcc Cr v004 view 4794
Cohesive energy versus lattice constant curve for fcc Fe v004 view 6226
Cohesive energy versus lattice constant curve for fcc Ni v004 view 6525
Cohesive energy versus lattice constant curve for sc Cr v004 view 5092
Cohesive energy versus lattice constant curve for sc Fe v004 view 17033
Cohesive energy versus lattice constant curve for sc Ni v004 view 7052


Elastic constants for arbitrary crystals at zero temperature and pressure v000

Creators:
Contributor: ilia
Publication Year: 2024
DOI: https://doi.org/10.25950/888f9943

Computes the elastic constants for an arbitrary crystal. A robust computational protocol is used, attempting multiple methods and step sizes to achieve an acceptably low error in numerical differentiation and deviation from material symmetry. The crystal structure is specified using the AFLOW prototype designation as part of the Crystal Genome testing framework. In addition, the distance from the obtained elasticity tensor to the nearest isotropic tensor is computed.
Test 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)
Elastic constants for CrFe in AFLOW crystal prototype A2B_cF24_227_c_b at zero temperature and pressure v000 view 86644
Elastic constants for CrNi in AFLOW crystal prototype A2B_cF24_227_c_b at zero temperature and pressure v000 view 148051
Elastic constants for FeNi in AFLOW crystal prototype A2B_cF24_227_c_b at zero temperature and pressure v000 view 160714


Elastic constants for cubic crystals at zero temperature and pressure v006

Creators: Junhao Li and Ellad Tadmor
Contributor: tadmor
Publication Year: 2019
DOI: https://doi.org/10.25950/5853fb8f

Computes the cubic elastic constants for some common crystal types (fcc, bcc, sc, diamond) by calculating the hessian of the energy density with respect to strain. An estimate of the error associated with the numerical differentiation performed is reported.
Test 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)
Elastic constants for bcc Cr at zero temperature v006 view 37387
Elastic constants for bcc Fe at zero temperature v006 view 16858
Elastic constants for bcc Ni at zero temperature v006 view 8051
Elastic constants for fcc Cr at zero temperature v006 view 16063
Elastic constants for fcc Fe at zero temperature v006 view 16451
Elastic constants for fcc Ni at zero temperature v006 view 16222
Elastic constants for sc Cr at zero temperature v006 view 32688
Elastic constants for sc Fe at zero temperature v006 view 8088
Elastic constants for sc Ni at zero temperature v006 view 15118


Equilibrium structure and energy for a crystal structure at zero temperature and pressure v002

Creators:
Contributor: ilia
Publication Year: 2024
DOI: https://doi.org/10.25950/2f2c4ad3

Computes the equilibrium crystal structure and energy for an arbitrary crystal at zero temperature and applied stress by performing symmetry-constrained relaxation. The crystal structure is specified using the AFLOW prototype designation. Multiple sets of free parameters corresponding to the crystal prototype may be specified as initial guesses for structure optimization. No guarantee is made regarding the stability of computed equilibria, nor that any are the ground state.
Test 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)
Equilibrium crystal structure and energy for CrFe in AFLOW crystal prototype A2B_cF24_227_c_b v002 view 207981
Equilibrium crystal structure and energy for CrNi in AFLOW crystal prototype A2B_cF24_227_c_b v002 view 208650
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype A2B_cF24_227_c_b v002 view 274163
Equilibrium crystal structure and energy for CrNi in AFLOW crystal prototype A3B_cF16_225_ac_b v002 view 114112
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype A3B_cF16_225_ac_b v002 view 105054
Equilibrium crystal structure and energy for CrFe in AFLOW crystal prototype A3B_cP4_221_c_a v002 view 80932
Equilibrium crystal structure and energy for CrNi in AFLOW crystal prototype A3B_cP4_221_c_a v002 view 71044
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype A3B_cP4_221_c_a v002 view 69719
Equilibrium crystal structure and energy for CrFe in AFLOW crystal prototype A3B_tI8_139_ad_b v002 view 56628
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype A3B_tI8_139_ad_b v002 view 78627
Equilibrium crystal structure and energy for Cr in AFLOW crystal prototype A_cF4_225_a v002 view 94013
Equilibrium crystal structure and energy for Fe in AFLOW crystal prototype A_cF4_225_a v002 view 85672
Equilibrium crystal structure and energy for Ni in AFLOW crystal prototype A_cF4_225_a v002 view 52922
Equilibrium crystal structure and energy for Cr in AFLOW crystal prototype A_cI2_229_a v002 view 79731
Equilibrium crystal structure and energy for Fe in AFLOW crystal prototype A_cI2_229_a v002 view 85326
Equilibrium crystal structure and energy for Ni in AFLOW crystal prototype A_cI2_229_a v002 view 64406
Equilibrium crystal structure and energy for Cr in AFLOW crystal prototype A_cP8_223_ac v002 view 103414
Equilibrium crystal structure and energy for Cr in AFLOW crystal prototype A_hP2_194_c v002 view 71780
Equilibrium crystal structure and energy for Fe in AFLOW crystal prototype A_hP2_194_c v002 view 46664
Equilibrium crystal structure and energy for Ni in AFLOW crystal prototype A_hP2_194_c v002 view 44294
Equilibrium crystal structure and energy for Cr in AFLOW crystal prototype A_tP28_136_f2ij v002 view 234629
Equilibrium crystal structure and energy for Fe in AFLOW crystal prototype A_tP28_136_f2ij v002 view 65621
Equilibrium crystal structure and energy for CrFe in AFLOW crystal prototype AB2_cF24_227_a_d v002 view 350654
Equilibrium crystal structure and energy for CrNi in AFLOW crystal prototype AB2_cF24_227_a_d v002 view 229308
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype AB2_cF24_227_a_d v002 view 294850
Equilibrium crystal structure and energy for CrFe in AFLOW crystal prototype AB3_cF16_225_a_bc v002 view 80750
Equilibrium crystal structure and energy for CrNi in AFLOW crystal prototype AB3_cF16_225_a_bc v002 view 77226
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype AB3_cF16_225_a_bc v002 view 81358
Equilibrium crystal structure and energy for CrFe in AFLOW crystal prototype AB3_cP4_221_a_c v002 view 57175
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype AB3_cP4_221_a_c v002 view 53712
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype AB3_tI8_139_a_bd v002 view 85400
Equilibrium crystal structure and energy for FeNi in AFLOW crystal prototype AB_tP2_123_a_d v002 view 67731


Relaxed energy as a function of tilt angle for a symmetric tilt grain boundary within a cubic crystal v003

Creators:
Contributor: brunnels
Publication Year: 2022
DOI: https://doi.org/10.25950/2c59c9d6

Computes grain boundary energy for a range of tilt angles given a crystal structure, tilt axis, and material.
Test 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)
Relaxed energy as a function of tilt angle for a 100 symmetric tilt grain boundary in bcc Fe v001 view 6554878
Relaxed energy as a function of tilt angle for a 110 symmetric tilt grain boundary in bcc Fe v001 view 11304962
Relaxed energy as a function of tilt angle for a 111 symmetric tilt grain boundary in bcc Fe v001 view 5983096
Relaxed energy as a function of tilt angle for a 112 symmetric tilt grain boundary in bcc Fe v001 view 21106347
Relaxed energy as a function of tilt angle for a 100 symmetric tilt grain boundary in fcc Fe v001 view 5781093
Relaxed energy as a function of tilt angle for a 100 symmetric tilt grain boundary in fcc Ni v001 view 9638539
Relaxed energy as a function of tilt angle for a 110 symmetric tilt grain boundary in fcc Fe v001 view 33463845
Relaxed energy as a function of tilt angle for a 110 symmetric tilt grain boundary in fcc Ni v001 view 31189284
Relaxed energy as a function of tilt angle for a 111 symmetric tilt grain boundary in fcc Fe v001 view 10932872
Relaxed energy as a function of tilt angle for a 111 symmetric tilt grain boundary in fcc Ni v001 view 19230451
Relaxed energy as a function of tilt angle for a 112 symmetric tilt grain boundary in fcc Fe v001 view 61827837
Relaxed energy as a function of tilt angle for a 112 symmetric tilt grain boundary in fcc Ni v001 view 58267653


Equilibrium lattice constant and cohesive energy of a cubic lattice at zero temperature and pressure v007

Creators: Daniel S. Karls and Junhao Li
Contributor: karls
Publication Year: 2019
DOI: https://doi.org/10.25950/2765e3bf

Equilibrium lattice constant and cohesive energy of a cubic lattice at zero temperature and pressure.
Test 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)
Equilibrium zero-temperature lattice constant for bcc Cr v007 view 10781
Equilibrium zero-temperature lattice constant for bcc Fe v007 view 11040
Equilibrium zero-temperature lattice constant for bcc Ni v007 view 10891
Equilibrium zero-temperature lattice constant for diamond Cr v007 view 11219
Equilibrium zero-temperature lattice constant for diamond Fe v007 view 11289
Equilibrium zero-temperature lattice constant for diamond Ni v007 view 7454
Equilibrium zero-temperature lattice constant for fcc Cr v007 view 5181
Equilibrium zero-temperature lattice constant for fcc Fe v007 view 11010
Equilibrium zero-temperature lattice constant for fcc Ni v007 view 7976
Equilibrium zero-temperature lattice constant for sc Cr v007 view 10861
Equilibrium zero-temperature lattice constant for sc Fe v007 view 10682
Equilibrium zero-temperature lattice constant for sc Ni v007 view 4659


Equilibrium lattice constants for hexagonal bulk structures at zero temperature and pressure v005

Creators: Daniel S. Karls and Junhao Li
Contributor: karls
Publication Year: 2019
DOI: https://doi.org/10.25950/c339ca32

Calculates lattice constant of hexagonal bulk structures at zero temperature and pressure by using simplex minimization to minimize the potential energy.
Test 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)
Equilibrium lattice constants for hcp Cr v005 view 106896
Equilibrium lattice constants for hcp Fe v005 view 96274
Equilibrium lattice constants for hcp Ni v005 view 143939


Linear thermal expansion coefficient of cubic crystal structures v002

Creators:
Contributor: mjwen
Publication Year: 2024
DOI: https://doi.org/10.25950/9d9822ec

This Test Driver uses LAMMPS to compute the linear thermal expansion coefficient at a finite temperature under a given pressure for a cubic lattice (fcc, bcc, sc, diamond) of a single given species.
Test 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)
Linear thermal expansion coefficient of bcc Cr at 293.15 K under a pressure of 0 MPa v002 view 383517
Linear thermal expansion coefficient of bcc Fe at 293.15 K under a pressure of 0 MPa v002 view 454849
Linear thermal expansion coefficient of fcc Ni at 293.15 K under a pressure of 0 MPa v002 view 786417


Phonon dispersion relations for an fcc lattice v004

Creators: Matt Bierbaum
Contributor: mattbierbaum
Publication Year: 2019
DOI: https://doi.org/10.25950/64f4999b

Calculates the phonon dispersion relations for fcc lattices and records the results as curves.
Test 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)
Phonon dispersion relations for fcc Ni v004 view 100497


Stacking and twinning fault energies of an fcc lattice at zero temperature and pressure v002

Creators:
Contributor: SubrahmanyamPattamatta
Publication Year: 2019
DOI: https://doi.org/10.25950/b4cfaf9a

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 a monoatomic FCC lattice at zero temperature and pressure.
Test 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)
Stacking and twinning fault energies for fcc Ni v002 view 17640092


High-symmetry surface energies in cubic lattices and broken bond model v004

Creators: Matt Bierbaum
Contributor: mattbierbaum
Publication Year: 2019
DOI: https://doi.org/10.25950/6c43a4e6

Calculates the surface energy of several high symmetry surfaces and produces a broken-bond model fit. In latex form, the fit equations are given by:

E_{FCC} (\vec{n}) = p_1 (4 \left( |x+y| + |x-y| + |x+z| + |x-z| + |z+y| +|z-y|\right)) + p_2 (8 \left( |x| + |y| + |z|\right)) + p_3 (2 ( |x+ 2y + z| + |x+2y-z| + |x-2y + z| + |x-2y-z| + |2x+y+z| + |2x+y-z| +|2x-y+z| +|2x-y-z| +|x+y+2z| +|x+y-2z| +|x-y+2z| +|x-y-2z| ) + c

E_{BCC} (\vec{n}) = p_1 (6 \left( | x+y+z| + |x+y-z| + |-x+y-z| + |x-y+z| \right)) + p_2 (8 \left( |x| + |y| + |z|\right)) + p_3 (4 \left( |x+y| + |x-y| + |x+z| + |x-z| + |z+y| +|z-y|\right)) +c.

In Python, these two fits take the following form:

def BrokenBondFCC(params, index):

import numpy
x, y, z = index
x = x / numpy.sqrt(x**2.+y**2.+z**2.)
y = y / numpy.sqrt(x**2.+y**2.+z**2.)
z = z / numpy.sqrt(x**2.+y**2.+z**2.)

return params[0]*4* (abs(x+y) + abs(x-y) + abs(x+z) + abs(x-z) + abs(z+y) + abs(z-y)) + params[1]*8*(abs(x) + abs(y) + abs(z)) + params[2]*(abs(x+2*y+z) + abs(x+2*y-z) +abs(x-2*y+z) +abs(x-2*y-z) + abs(2*x+y+z) +abs(2*x+y-z) +abs(2*x-y+z) +abs(2*x-y-z) + abs(x+y+2*z) +abs(x+y-2*z) +abs(x-y+2*z) +abs(x-y-2*z))+params[3]

def BrokenBondBCC(params, x, y, z):


import numpy
x, y, z = index
x = x / numpy.sqrt(x**2.+y**2.+z**2.)
y = y / numpy.sqrt(x**2.+y**2.+z**2.)
z = z / numpy.sqrt(x**2.+y**2.+z**2.)

return params[0]*6*(abs(x+y+z) + abs(x-y-z) + abs(x-y+z) + abs(x+y-z)) + params[1]*8*(abs(x) + abs(y) + abs(z)) + params[2]*4* (abs(x+y) + abs(x-y) + abs(x+z) + abs(x-z) + abs(z+y) + abs(z-y)) + params[3]
Test 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)
Broken-bond fit of high-symmetry surface energies in bcc Cr v004 view 77410
Broken-bond fit of high-symmetry surface energies in bcc Fe v004 view 78066
Broken-bond fit of high-symmetry surface energies in fcc Ni v004 view 97162


Monovacancy formation energy and relaxation volume for cubic and hcp monoatomic crystals v001

Creators:
Contributor: efuem
Publication Year: 2023
DOI: https://doi.org/10.25950/fca89cea

Computes the monovacancy formation energy and relaxation volume for cubic and hcp monoatomic crystals.
Test 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)
Monovacancy formation energy and relaxation volume for bcc Cr view 390041
Monovacancy formation energy and relaxation volume for bcc Fe view 471245
Monovacancy formation energy and relaxation volume for fcc Ni view 356691


Vacancy formation and migration energies for cubic and hcp monoatomic crystals v001

Creators:
Contributor: efuem
Publication Year: 2023
DOI: https://doi.org/10.25950/c27ba3cd

Computes the monovacancy formation and migration energies for cubic and hcp monoatomic crystals.
Test 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)
Vacancy formation and migration energy for bcc Cr view 3609539
Vacancy formation and migration energy for bcc Fe view 5675183
Vacancy formation and migration energy for fcc Ni view 943594


ElasticConstantsCubic__TD_011862047401_006

ElasticConstantsHexagonal__TD_612503193866_004

EquilibriumCrystalStructure__TD_457028483760_000

EquilibriumCrystalStructure__TD_457028483760_002

PhononDispersionCurve__TD_530195868545_004
Test Error Categories Link to Error page
Phonon dispersion relations for fcc Ni v004 other view

SurfaceEnergyCubicCrystalBrokenBondFit__TD_955413365818_004

No Driver
Verification Check Error Categories Link to Error page
ForcesNumerDeriv__VC_710586816390_003 other view
MemoryLeak__VC_561022993723_004 other view




This Model requires a Model Driver. Archives for the Model Driver EAM_Dynamo__MD_120291908751_005 appear below.


EAM_Dynamo__MD_120291908751_005.txz Tar+XZ Linux and OS X archive
EAM_Dynamo__MD_120291908751_005.zip Zip Windows archive
Wiki is ready to accept new content.

Login to edit Wiki content