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https://dblp.org/pid/67/2016 +
, https://dblp.org/pid/145/1853 +
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, https://dblp.org/pid/60/4604 +
, https://dblp.org/pid/33/291 +
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http://purl.org/net/nknouf/ns/bibtex#Article +
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| https://dblp.org/rdf/schema#createdBy
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https://dblp.org/pid/67/2016 +
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, https://dblp.org/pid/60/4604 +
, https://dblp.org/pid/33/291 +
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| https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.1007/S00521-019-04480-7 +
|
| https://dblp.org/rdf/schema#doi
|
https://doi.org/10.1007/S00521-019-04480-7 +
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https://dblp.org/db/journals/nca/nca32 +
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6
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14359-14373
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https://doi.org/10.1007/S00521-019-04480-7 +
|
| https://dblp.org/rdf/schema#publishedIn
|
Neural Comput. Appl.
|
| https://dblp.org/rdf/schema#publishedInJournal
|
Neural Comput. Appl.
|
| https://dblp.org/rdf/schema#publishedInJournalVolume
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32
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| https://dblp.org/rdf/schema#publishedInJournalVolumeIssue
|
18
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| https://dblp.org/rdf/schema#publishedInStream
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https://dblp.org/streams/journals/nca +
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A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua.
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2020
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https://doi.org/10.1007/S00521-019-04480-7 +
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https://dblp.org/rdf/schema#Publication +
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Shaoping Xiao et al.: A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua. (2020)
|
