Special Issue: Computational Science and Engineering for Industry, Sustainability, and Innovation

ABSTRACT This special issue, dedicated to the inaugural edition of the ECCOMAS‐IACM conference series Math 2 Product (M2P), contains eleven articles on frontier topics in Computational Science and Engineering, with a specific focus on next‐generation methodologies for industrial problems and sustainability.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2026-01-06
DOI
https://doi.org/10.1002/nme.70250
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Special Issue: Computational Science and Engineering for Industry, Sustainability, and Innovation

Simona Perotto, Matteo Giacomini, Gianluigi Rozza Gianluigi Rozza
International Journal for Numerical Methods in Engineering
Machine Learning in Materials Science
article

Special Issue: Computational Science and Engineering for Industry, Sustainability, and Innovation

Simona Perotto, Matteo Giacomini, Gianluigi Rozza Gianluigi Rozza
article en

Abstract

ABSTRACT This special issue, dedicated to the inaugural edition of the ECCOMAS‐IACM conference series Math 2 Product (M2P), contains eleven articles on frontier topics in Computational Science and Engineering, with a specific focus on next‐generation methodologies for industrial problems and sustainability.

International Journal for Numerical Methods in EngineeringVol. 127(1)
Scuola Internazionale Superiore di Studi Avanzati (IT), International Center for Numerical Methods in Engineering (ES), Politecnico di Milano (IT), Universitat Politècnica de Catalunya (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Machine Learning in Materials Science
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