Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization

Wing Kam Liu; Miguel A. Bessa; Francisco Chinesta; Shaofan Li; Nathaniel Trask

doi:10.1007/s00466-023-02337-4

Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization

Wing Kam Liu^*, Miguel A. Bessa, Francisco Chinesta, Shaofan Li, Nathaniel Trask

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Editorial › peer-review

3 Scopus citations

Original language	English (US)
Pages (from-to)	1-2
Number of pages	2
Journal	Computational Mechanics
Volume	72
Issue number	1
DOIs	https://doi.org/10.1007/s00466-023-02337-4
State	Published - Jul 2023

ASJC Scopus subject areas

Computational Mechanics
Ocean Engineering
Mechanical Engineering
Computational Theory and Mathematics
Computational Mathematics
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00466-023-02337-4

Cite this

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title = "Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization",

author = "Liu, {Wing Kam} and Bessa, {Miguel A.} and Francisco Chinesta and Shaofan Li and Nathaniel Trask",

year = "2023",

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language = "English (US)",

volume = "72",

pages = "1--2",

journal = "Computational Mechanics",

issn = "0178-7675",

publisher = "Springer Verlag",

number = "1",

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Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization. / Liu, Wing Kam; Bessa, Miguel A.; Chinesta, Francisco et al.
In: Computational Mechanics, Vol. 72, No. 1, 07.2023, p. 1-2.

Research output: Contribution to journal › Editorial › peer-review

TY - JOUR

T1 - Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization

AU - Liu, Wing Kam

AU - Bessa, Miguel A.

AU - Chinesta, Francisco

AU - Li, Shaofan

AU - Trask, Nathaniel

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U2 - 10.1007/s00466-023-02337-4

DO - 10.1007/s00466-023-02337-4

M3 - Editorial

C2 - 37213791

AN - SCOPUS:85153589629

SN - 0178-7675

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SP - 1

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JO - Computational Mechanics

JF - Computational Mechanics

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Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization

ASJC Scopus subject areas

UN SDGs

Access to Document

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