An object oriented Python interface for atomistic simulations
Main Author: | CPC, Mendeley |
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Other Authors: | Hynninen, T., Himanen, L., Parkkinen, V., Musso, T., Corander, J., Foster, A.S. |
Format: | Dataset |
Terbitan: |
Mendeley
, 2016
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/6jz3575gwc |
ctrlnum |
0.17632-6jz3575gwc.1 |
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fullrecord |
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<dc><creator>CPC, Mendeley</creator><title>An object oriented Python interface for atomistic simulations </title><publisher>Mendeley</publisher><description>Abstract
Programmable simulation environments allow one to monitor and control calculations efficiently and automatically before, during, and after runtime. Environments directly accessible in a programming environment can be interfaced with powerful external analysis tools and extensions to enhance the functionality of the core program, and by incorporating a flexible object based structure, the environments make building and analysing computational setups intuitive. In this work, we present a classi...
Title of program: Pysic
Catalogue Id: AEYE_v1_0
Nature of problem
Automated simulation control, interaction tuning and an intuitive interface for running atomistic simulations.
Versions of this program held in the CPC repository in Mendeley Data
AEYE_v1_0; Pysic; 10.1016/j.cpc.2015.09.010
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)</description><subject>Physical Chemistry</subject><subject>Surface Science</subject><subject>Condensed Matter Physics</subject><subject>Molecular Physics</subject><subject>Computational Physics</subject><subject>Computational Method</subject><contributor>Hynninen, T.</contributor><contributor>Himanen, L.</contributor><contributor>Parkkinen, V.</contributor><contributor>Musso, T.</contributor><contributor>Corander, J.</contributor><contributor>Foster, A.S.</contributor><type>Other:Dataset</type><identifier>10.17632/6jz3575gwc.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/6jz3575gwc</relation><date>2016-01-01T12:00:00Z</date><recordID>0.17632-6jz3575gwc.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
CPC, Mendeley |
author2 |
Hynninen, T. Himanen, L. Parkkinen, V. Musso, T. Corander, J. Foster, A.S. |
title |
An object oriented Python interface for atomistic simulations |
publisher |
Mendeley |
publishDate |
2016 |
topic |
Physical Chemistry Surface Science Condensed Matter Physics Molecular Physics Computational Physics Computational Method |
url |
https:/data.mendeley.com/datasets/6jz3575gwc |
contents |
Abstract
Programmable simulation environments allow one to monitor and control calculations efficiently and automatically before, during, and after runtime. Environments directly accessible in a programming environment can be interfaced with powerful external analysis tools and extensions to enhance the functionality of the core program, and by incorporating a flexible object based structure, the environments make building and analysing computational setups intuitive. In this work, we present a classi...
Title of program: Pysic
Catalogue Id: AEYE_v1_0
Nature of problem
Automated simulation control, interaction tuning and an intuitive interface for running atomistic simulations.
Versions of this program held in the CPC repository in Mendeley Data
AEYE_v1_0; Pysic; 10.1016/j.cpc.2015.09.010
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) |
id |
IOS7969.0.17632-6jz3575gwc.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
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 |
2020-04-08T08:31:15Z |
last_indexed |
2020-04-08T08:31:15Z |
recordtype |
dc |
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1686587760494772224 |
score |
17.538404 |