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A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua

Year of publication

2019

Authors

Xiao, Shaoping; Hu, Renjie; Li, Zhen; Attarian, Siamak; Björk, Kaj-Mikael; Lendasse, Amaury

Organizations and authors

Arcada University of Applied Sciences

Lendasse Amaury Orcid -palvelun logo

Björk Kaj-Mikael Orcid -palvelun logo

Hanken School of Economics

Björk Kaj Mikael

Lendasse Amaury

Li Zhen

Attarian Siamak

Hu Renjie

Xiao Shaoping

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Neural computing and applications

Pages

1-15

ISSN

0941-0643

​Publication forum

63862

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1007/s00521-019-04480-7

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes