PEPR project

GREENTEA: Generation of High-Conductivity Thermelectric Sulfide Alloys Composed of Abundant Elements Through Machine Learning.

Dates: April
, 2026 – March 2030

Project Coordinators: Michaël BEAUDHUIN, ICGM (University of Montpellier)

IMN Coordinator: David BERTHEBAUD, MIOPS team

Partner laboratories:

  • ICGM (Montpellier)
  • ICMPE (Thiais)
  • ISCR (Rennes)
  • CRISMAT (Caen)
  • IMN (Nantes)
  • Néel Institute (Grenoble)
  • NIMBE (Saclay)
  • Stockholm University (Sweden)
  • LINK (Tsukuba, Japan)

IMN staff involved:

David BERTHEBAUD (CR), Romain GAUTIER (CR)

The GREENTEA project is part of an eco-design initiative. It is based on a multidisciplinary approach that seeks to identify new stable (or slightly metastable) semiconductor compounds within plurinary systems. It will also incorporate eco-design principles to minimize environmental impact from the design phase onward. A combined approach will use high-throughput DFT calculations alongside machine learning techniques. This dataset will enable the exploration of several million configurations. The targeted materials will be synthesized using solution-based and/or solid-state processes. Syntheses will be carried out on the PEPR DIADEM synthesis platforms. They will also benefit from this PEPR’s characterization platforms. Process optimization to reduce the ecological footprint will always be pursued. The use of AI at every stage of the project will enable the identification and selection of the most promising phases for the targeted applications. This project also aims to validate a methodological and conceptual approach that can be applied to other families of materials and/or other applications in order to accelerate their discovery.