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Call for Papers: Accelerating Numerical Methods With Scientific Machine Learning

Prazo para submissão: 31 July 2025

Data de Notificação: 04/04/2025

Editora: Springer

Revista: Machine Learning for Computational Science and Engineering

Link: https://link.springer.com/journal/44379/updates/27470176

Detalhes:

Modeling and Simulation Krishna Kumar is an assistant professor and J. Neils Thompson Centennial Teaching Fellow at the Maseeh Department of Civil, Architectural, and Environmental Engineering and an affiliate member at the Oden Institute of Computational Sciences at the University of Texas at Austin. Krishna received his PhD in Engineering at the University of Cambridge, UK, in multi-scale and multi-physics modeling. Krishna’s work involves developing large-scale multi-physics numerical methods...

Special Issues