Artificial intelligence for life-cycle-aware sustainable materials discovery
Reviewartikel, 2026

Artificial intelligence has accelerated the discovery of new materials, offering a route towards sustainable development. Candidates are nevertheless evaluated almost exclusively on functional performance. Whether a material can be manufactured at scale, how it behaves once built into a real product, what burden its production places on the environment and what becomes of it at the end of its life are questions addressed only after the choice has been settled, when little can be altered. Bringing these considerations into the discovery process itself is achievable and would yield materials that are sustainable not by accident but by design.

Sustainable development

Life cycle

Artificial intelligence

Functional performance

Författare

Sajid Mannan

Indian Institute of Technology

Rupert J. Myers

Imperial College London

Rohit Batra

Indian Institute of Technology

Rocio Mercado

Chalmers, Data- och informationsteknik, Data Science och AI

Lothar Wondraczek

Friedrich-Schiller-Universität Jena

N. M.Anoop Krishnan

Indian Institute of Technology

Nature Sustainability

23989629 (eISSN)

Vol. In Press

Ämneskategorier (SSIF 2025)

Materialteknik

Artificiell intelligens

Miljöbioteknik

DOI

10.1038/s41893-026-01950-4

Mer information

Senast uppdaterat

2026-10-26