Towards a quantitative analysis of the mechanical properties of soft materials at the nanoscale: When AI meets Materials!

Authors

Philippe Leclère (ORCID: https://orcid.org/0000-0002-5490-0608)
Pierre Nickmilder (ORCID: https://orcid.org/0009-0009-7101-151X)
Bertrand Kilian
Romain Caro
François Fievet

Institutions

University of Mons (BE)

Publication Details

Journal: ORBi UMONS
Published: 2024-12-01
Primary Topic: Machine Learning in Materials Science
Type: article
Field-Weighted Citation Impact: 0.00

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article

Towards a quantitative analysis of the mechanical properties of soft materials at the nanoscale: When AI meets Materials!

Philippe Leclère, Pierre Nickmilder, Bertrand Kilian, Romain Caro et al.

Dec 1, 2024

ORBi UMONS

Machine Learning in Materials Science

article

Towards a quantitative analysis of the mechanical properties of soft materials at the nanoscale: When AI meets Materials!

Philippe Leclère, Pierre Nickmilder, Bertrand Kilian, Romain Caro, François Fievet

December 1, 2024article en

Abstract

No abstract available for this paper.

ORBi UMONS

University of Mons (BE)

Openalex Percentile: Top 66%

Machine Learning in Materials Science

OpenAlex

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Towards a quantitative analysis of the mechanical properties of soft materials at the nanoscale: When AI meets Materials! — Philippe Leclère, Pierre Nickmilder, et al. · ORBi UMONS (2024) | TGRS Research Map | TGRS