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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

Hanken School of Economics

Björk Kaj Mikael

Li Zhen

Xiao Shaoping

Attarian Siamak

Lendasse Amaury

Hu Renjie

Arcada University of Applied Sciences

Lendasse Amaury Orcid -palvelun logo

Björk Kaj-Mikael Orcid -palvelun logo

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