Interoperability is a central challenge in modern materials science as scientific workflows increasingly need to integrate heterogeneous computational methods, experimental infrastructures, data platforms, and AI‐assisted systems. This perspective presents interoperability concepts from European digitalization initiati...
Jan Janssen, Osamu Waseda, Bernd Bayerlein et al.· Advanced Engineering Materia...· 0 citations
Predicting optoelectronic response across thermodynamic state space requires coupling finite-temperature nuclear dynamics to electronic structure at scales where direct first-principles calculations are impractical. Machine-learning force fields and Hamiltonian-learning models provide scalable predictions, but integrat...
Frederik Vonhoff, Jesper R. Pedersen, Frederico P. Delgado et al.· 0 citations
This article examines 13 workflow contributions from the second and third funding phases of the MaterialDigital initiative and shows how workflows support AI‐ready research both through integrated AI methods and through structured, traceable, and reusable pipelines.
Marian Bruns, Lateef Abdul, Stephan Barth et al.· Advanced Engineering Materia...· 1 citation
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