EC-OECD workshop: The Future of Artificial Intelligence and the Implications for Materials Science

16 December 2025

The European Commission’s Directorate-General for Research & Innovation and the OECD’s Directorate for Science Technology and Innovation are jointly organising a workshop on the impact of advances in AI on the future of materials science.

Discover AI’s impact from computational design to autonomous labs, recent breakthroughs, and where progress is needed.

The development, production and use of new materials is one of the most economically, socially and environmentally important fields of science and innovation. It is also a field of science where AI is having significant effects on progress.

Workshop aims:

  • Examine how emerging AI systems might advance materials science in the next 5-10 years;
  • Examine the technical progress in AI, and the policy conditions, needed to achieve the medium-term potential;
  • Assess how international collaboration could be most helpful. In particular, would it make sense to invest in cost-shared AI-driven ‘moonshots’ around advanced materials?

Background: Machine learning has for some time accelerated progress in materials science. Generative artificial intelligence (AI) is already finding creative applications in the same field. In parallel, AI is undergoing rapid progress, and expert opinion is divided on where even near-term developments might lead. Possible scenarios range from the advent of artificial general intelligence (AGI) to a hiatus in progress contingent on assimilation of several distinct AI techniques. In addition, new AI capabilities, all the focus of active study in the research community, could have significant implications for science. These include such subjects as causal AI, model interpretability, data efficient learning, and agent task length.

The programme includes several sessions over the whole day:

  • Session 1 – AI-powered materials: State-of-the-art and main challenges
  • Session 2 – The future of autonomous laboratories
  • Session 3 – The Future: Towards more capable AI, and the long-term impacts on scientific discovery
  • Session 4 – AI in materials science: does it even matter, if we can’t scale materials production?
  • Session 5 – Broader societal and policy implications

For more details about the programme, session objectives and to register (n.b. registrations will close 10 December), please visit the source page of this announcement: EUSurvey – Survey.

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