Seminario de Alejandro Strachan el Profesor Reilly de Ingeniería de Materiales en la Universidad de Purdue y el Codirector de nanoHUB y chipshub, titulado «Physics-based modeling, machine learning, and cyber-infrastructure accelerating materials research and innovation». El 25 de junio, a las 12:00 en la sala de seminarios.
Resumen: Predictive machine learning (ML) tools can accelerate the discovery of new materials and enable semi or fully autonomous research. In addition, ML tools are playing an increasingly central role in physics-based simulations, enabling a combination of accuracy and computational