This inaugural webinar for the COST Action SUSTENET marks the first step in building a vibrant, interdisciplinary community dedicated to advancing sustainable thermoelectric technologies. Organized by Working Group 1, which focuses on leveraging artificial Intelligence to accelerate material discovery and optimize system efficiency, this session brings together researchers exploring how computational tools can unlock the next generation of earth‑abundant, high‑performance thermoelectric materials.

Our two speakers for this webinar, Keith Butler (UCL, UK) and Philippe Jund (Montpellier, France), will present their work on computational materials discovery. The titles of their talks are: Learning the language of crystal chemistry: How methods from natural language can help discover new materials, and Machine Learning Strategies for the Accelerated Discovery of Efficient Half-Heusler Thermoelectric Materials, respectively.