Artificial Intelligence and “Evolving” Databases: a Politecnico di Torino Study Proposes Thousands of New Materials for Energy Applications
We are pleased to share the official press release published by the Politecnico di Torino following the appearance of our peer-reviewed article in Energy and AI. This institutional announcement highlights the research conducted within the SMaLL – Multi-Scale Modeling Laboratory at DENERG and the creation of Energy-GNoME, an “evolving” AI-driven database for energy materials discovery.