ORNL took yet another step toward leading the AI revolution by hosting its third workshop on Artificial Intelligence for Robust Engineering and Science, or AIRES.
Oak Ridge National Laboratory (ORNL) researchers have developed a new strategy for molecule generation to accelerate molecular design for drug discovery applications.
Oak Ridge National Laboratory (ORNL) researchers have developed a novel, generalizable policy learning approach in deep reinforcement learning (RL) for future applications in additive manufacturing.
Researchers have developed a novel architecture-agnostic method for the generation of atomic structures for use in materials discovery.
An adaptive single parameter total variation regularization (ASP-TVR) was developed for accurate and faster estimation of derivatives from noisy data to support the development of physics-informed machine learning methods.