Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Shufeng Kong, Francesco Ricci, Dan Guevarra, Jeffrey B. Neaton, Carla P. Gomes | Summary: Machine learning for materials discovery has largely focused on predicting an individual scalar rather than multiple related properties, where spectral properties are an important example. Fundamental spectral properties include the phonon density […]


Continue.. Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

On games and simulators as a platform for development of artificial intelligence for command and control

Kavli Affiliate: John Richardson | First 5 Authors: Vinicius G. Goecks, Nicholas Waytowich, Derrik E. Asher, Song Jun Park, Mark Mittrick | Summary: Games and simulators can be a valuable platform to execute complex multi-agent, multiplayer, imperfect information scenarios with significant parallels to military applications: multiple participants manage resources and make decisions that command assets […]


Continue.. On games and simulators as a platform for development of artificial intelligence for command and control