
ORNL researchers developed a stochastic approximate gradient ascent method to reduce posterior uncertainty in Bayesian experimental design involving implicit models.
ORNL researchers developed a stochastic approximate gradient ascent method to reduce posterior uncertainty in Bayesian experimental design involving implicit models.
Single atom impurities in graphene diffuse under e-beam irradiation. This phenomenon has been used to direct defect diffusion site-by-site with focused high-energy e-beams found in STEMs and stable defect arrays and heterostructures have been
A team of researchers from 91°µÍø (ORNL) designed, implemented, and evaluated a high-performance computing (HPC) runtime system.