A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites | SpringerLink
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science: APL Materials: Vol 4, No 5
Data-driven Computational Mechanics – Computational Mechanics Group | ETH Zurich
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences | npj Digital Medicine
Frontiers in Built Environment on Twitter: "CALL FOR PARTICIPATION: New Article Collection "#Data Driven #Computational #Mechanics" edited by Dr Eleni Chatzi and Dr Konstantinos Agathos from @ETH_en and Prof Stephane Bordas @stephanebordas @
Data-driven Computational Mechanics – Computational Mechanics Group | ETH Zurich
A Framework For Data-driven Computational Mechanics Based On ... | Oark Library
PDF) Physics-constrained local convexity data-driven modeling of anisotropic nonlinear elastic solids
Data-driven modeling and learning in science and engineering - ScienceDirect