Seminario del Dr Jose Recatala de NTU Singapore, titulado «AI-Guided, Accelerated Synthesis of Functional Inorganic Materials»- el próximo 15 de abril de 2024.
Resumen: In this presentation, I will describe how data science, machine learning (ML) and high-throughput synthesis can be combined to achieve accelerated development and discovery of solid-state materials for energy applications. I will describe 6S, a self-sintered scalable solid-state synthesis