MEAMfit: A reference-free modified embedded atom method (RF-MEAM) energy and force-fitting code
Main Author: | CPC, Mendeley |
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Other Authors: | Duff, Andrew Ian, Finnis, M.W., Maugis, Philippe, Thijsse, Barend J., Sluiter, Marcel H.F. |
Format: | Dataset |
Terbitan: |
Mendeley
, 2015
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/kdkyzwgxdc |
ctrlnum |
0.17632-kdkyzwgxdc.1 |
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fullrecord |
<?xml version="1.0"?>
<dc><creator>CPC, Mendeley</creator><title>MEAMfit: A reference-free modified embedded atom method (RF-MEAM) energy and force-fitting code </title><publisher>Mendeley</publisher><description>Abstract
Ab initio modeling of materials has become routine in recent years, largely due to the success of density functional theory (DFT). However, for many processes in materials, realism is achieved only when millions of atoms are considered. Currently, such large scale simulations are beyond ab initio capabilities so that one has to resort to effective interatomic potentials that well represent ab initio data on smaller scales. Two of the more widely used types of interatomic potentials are embedd...
Title of program: MEAMfit
Catalogue Id: AEWY_v1_0
Nature of problem
Fitting embedded atom method (EAM) and reference-free modified embedded atom method (RF-MEAM) potentials [2-3] to energies and forces produced by VASP [4-7].
Versions of this program held in the CPC repository in Mendeley Data
AEWY_v1_0; MEAMfit; 10.1016/j.cpc.2015.05.016
AEWY_v1_1; MEAMfit; 10.1016/j.cpc.2016.02.015
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)</description><subject>Physical Chemistry</subject><subject>Molecular Physics</subject><subject>Computational Physics</subject><contributor>Duff, Andrew Ian</contributor><contributor>Finnis, M.W.</contributor><contributor>Maugis, Philippe</contributor><contributor>Thijsse, Barend J.</contributor><contributor>Sluiter, Marcel H.F.</contributor><type>Other:Dataset</type><identifier>10.17632/kdkyzwgxdc.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/kdkyzwgxdc</relation><date>2015-01-01T12:00:00Z</date><recordID>0.17632-kdkyzwgxdc.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
CPC, Mendeley |
author2 |
Duff, Andrew Ian Finnis, M.W. Maugis, Philippe Thijsse, Barend J. Sluiter, Marcel H.F. |
title |
MEAMfit: A reference-free modified embedded atom method (RF-MEAM) energy and force-fitting code |
publisher |
Mendeley |
publishDate |
2015 |
topic |
Physical Chemistry Molecular Physics Computational Physics |
url |
https:/data.mendeley.com/datasets/kdkyzwgxdc |
contents |
Abstract
Ab initio modeling of materials has become routine in recent years, largely due to the success of density functional theory (DFT). However, for many processes in materials, realism is achieved only when millions of atoms are considered. Currently, such large scale simulations are beyond ab initio capabilities so that one has to resort to effective interatomic potentials that well represent ab initio data on smaller scales. Two of the more widely used types of interatomic potentials are embedd...
Title of program: MEAMfit
Catalogue Id: AEWY_v1_0
Nature of problem
Fitting embedded atom method (EAM) and reference-free modified embedded atom method (RF-MEAM) potentials [2-3] to energies and forces produced by VASP [4-7].
Versions of this program held in the CPC repository in Mendeley Data
AEWY_v1_0; MEAMfit; 10.1016/j.cpc.2015.05.016
AEWY_v1_1; MEAMfit; 10.1016/j.cpc.2016.02.015
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) |
id |
IOS7969.0.17632-kdkyzwgxdc.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
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804 |
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library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:17:25Z |
last_indexed |
2020-04-08T08:17:25Z |
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dc |
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1686587419120369664 |
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17.538404 |