Bayesian optimization (BO) is a popular method for efficiently inferring optima of an expensive black-box function via a sequence of queries. Existing information-theoretic BO …
Rapid discovery and synthesis of future materials requires intelligent data acquisition strategies to navigate large design spaces. A popular strategy is Bayesian optimization …
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in …
This dissertation addresses the need to accelerate materials discovery, particularly within the context of advanced scattering facilities. The complexity of materials discovery arises …
A central ability of intelligent agents is learning by interacting with the surrounding environment. Bayesian optimization (BO) and reinforcement learning (RL) provide …