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Pair_LJ_Smooth_Bernardes_Ar__MO_764178710049_000

Title
A single sentence description.
A smoothed Lennard-Jones pair potential for Argon
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.
A smoothed Lennard-Jones pair potential for Argon with parameter from Bernardes.
Species
The supported atomic species.
Ar
Contributor Admal
Maintainer Admal
Author Nikhil Chandra Admal
Publication Year 2015
Source Citations
A citation to primary published work(s) that describe this KIM Item.

Bernardes N (1958) Theory of Solid Ne, A, Kr, and Xe at 0^\circK. Physical Review 112(5):1534–1539. doi:10.1103/PhysRev.112.1534

Item Citation Click here to download a citation in BibTeX format.
Short KIM ID
The unique KIM identifier code.
MO_764178710049_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.
Pair_LJ_Smooth_Bernardes_Ar__MO_764178710049_000
Citable Link https://openkim.org/cite/MO_764178710049_000
KIM Item Type
Specifies whether this is a Stand-alone Model (software implementation of an interatomic model); Parameterized Model (parameter file to be read in by a Model Driver); Model Driver (software implementation of an interatomic model that reads in parameters).
Parameterized Model using Model Driver Pair_LJ_Smooth__MD_716364606252_000
DriverPair_LJ_Smooth__MD_716364606252_000
Pair LJ Smooth Bernardes Ar MO_764178710049_000 interatomic potential

Visualizers (in-page)


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.

(No matching species)

Click on any thumbnail to get a full size image.



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.

(No matching species)

Click on any thumbnail to get a full size image.



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.

(No matching species)

Click on any thumbnail to get a full size image.



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.

(No matching species)

Click on any thumbnail to get a full size image.



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.

(No matching species)

Click on any thumbnail to get a full size image.



Cubic Crystal Basic Properties Table

Species: Ar



Tests

LammpsExample2__TD_887699523131_002
This example Test Driver illustrates the use of LAMMPS in the openkim-pipeline
to compute an energy-volume curve (more specifically, a cohesive energy-lattice
constant curve) for a given cubic lattice (fcc, bcc, sc, diamond) of a single given
species. The curve is computed for lattice constants ranging from a_min to a_max,
with most samples being about a_0 (a_min, a_max, and a_0 are specified via stdin.
a_0 is typically approximately equal to the equilibrium lattice constant.). The precise
scaling of sample points going from a_min to a_0 and from a_0 to a_max is specified
by two separate parameters passed from stdin. Please see README.txt for further
details.
Test 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)
LammpsExample2_fcc_Ar__TE_778998786610_002 view 24176
LammpsExample__TD_567444853524_004
This example Test Driver illustrates the use of LAMMPS to compute the equilibrium lattice spacing and cohesive energy of fcc argon using Polak-Ribiere conjugate gradient minimization in LAMMPS and an initial guess at the equilibrium lattice spacing supplied by the user through pipeline.stdin.tpl.
Test 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)
LammpsExample__TE_565333229701_004 view 72
SurfaceTest__TD_955413365818_002
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 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 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)
SurfaceTest_fcc_Ar__TE_034742437374_002 view 338333
No Driver
Test 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)
ASECohesiveEnergyFromQueryExample_fcc_Ar__TE_102111117114_002 view 395



Download Dependency

This Model requires a Model Driver. Archives for the Model Driver Pair_LJ_Smooth__MD_716364606252_000 appear below.


Pair_LJ_Smooth__MD_716364606252_000.txz Tar+XZ Linux and OS X archive
Pair_LJ_Smooth__MD_716364606252_000.zip Zip Windows archive

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