Supporting AI Readiness Through Digital Workflows in Materials Science
Materials science produces heterogeneous data across experiments, simulations, and industrial processes that often remain bound to local formats, manual procedures, and project‐specific software. Digital workflows address this fragmentation through explicit, repeatable, and machine‐actionable pipelines. This article ex...
Marian Bruns, Lateef Abdul, Stephan Barth et al.
· Advanced Engineering Materia... · 1 citation