Grand Challenges in Computational Materials Science: From description to prediction at all scales

Bibliographic Details
Main Author: Thomas eHeine
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-07-01
Series:Frontiers in Materials
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmats.2014.00007/full
_version_ 1819065077351841792
author Thomas eHeine
author_facet Thomas eHeine
author_sort Thomas eHeine
collection DOAJ
first_indexed 2024-12-21T15:40:44Z
format Article
id doaj.art-856c6e73d329469384b9e1d061fc191c
institution Directory Open Access Journal
issn 2296-8016
language English
last_indexed 2024-12-21T15:40:44Z
publishDate 2014-07-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Materials
spelling doaj.art-856c6e73d329469384b9e1d061fc191c2022-12-21T18:58:30ZengFrontiers Media S.A.Frontiers in Materials2296-80162014-07-01110.3389/fmats.2014.00007104882Grand Challenges in Computational Materials Science: From description to prediction at all scalesThomas eHeine0Jacobs University Bremen gGmbHhttp://journal.frontiersin.org/Journal/10.3389/fmats.2014.00007/fullNanotechnologyGrapheneMetal-Organic FrameworksGPU computingParallel ComputingCloud computing
spellingShingle Thomas eHeine
Grand Challenges in Computational Materials Science: From description to prediction at all scales
Frontiers in Materials
Nanotechnology
Graphene
Metal-Organic Frameworks
GPU computing
Parallel Computing
Cloud computing
title Grand Challenges in Computational Materials Science: From description to prediction at all scales
title_full Grand Challenges in Computational Materials Science: From description to prediction at all scales
title_fullStr Grand Challenges in Computational Materials Science: From description to prediction at all scales
title_full_unstemmed Grand Challenges in Computational Materials Science: From description to prediction at all scales
title_short Grand Challenges in Computational Materials Science: From description to prediction at all scales
title_sort grand challenges in computational materials science from description to prediction at all scales
topic Nanotechnology
Graphene
Metal-Organic Frameworks
GPU computing
Parallel Computing
Cloud computing
url http://journal.frontiersin.org/Journal/10.3389/fmats.2014.00007/full
work_keys_str_mv AT thomaseheine grandchallengesincomputationalmaterialssciencefromdescriptiontopredictionatallscales