Structure

The action develops through five independent but synergistic working groups (WG), each responsible of three different task

WG1: Community standards: data, workflows and codes for materials design.

Representative areas of research: data digitalisation best practices; robust protocols for data acquisition of interest to the Action; quality standards and open-source codes for materials design.

WG2: Representations and algorithms for materials design for “single-modality” use.

Representative areas of research: uncertainty-aware predictions and uncertainty-propagation methods; representation design in materials science; learning of heterogeneous and complex data beyond single-valued functions.

WG3: Multi-modal machine learning methods for advanced materials design.

Representative areas of research: multi-fidelity approaches; data-fusion approaches; multivariate optimisation

WG4: Process-structure-property relationships in materials. Novel insights and applications.

Representative areas of research: theory and discovery of energy and charge generation, conversion, and storage; materials processing for sustainability & recycling; materials discovery and new functional materials.

WG5: Training, Dissemination, Exploitation, and Outreach.

Representative areas of activity: diversity, inclusion, and equality; training and knowledge exchange programmes; general public, industry and policymakers engagement.