Events

Introduction to Three Dimensional Monte Carlo Neutron Transport
Applications of Anderson Acceleration to Algorithms for Newtonian and Non-Newtonian Fluid Simulation
Stable Anderson acceleration for Deep Learning
Solving Design and Control Problems Involving Neural Network Surrogates
An Augmented Lagrangian Method For Nonconvex Optimization Problems with Conically-Convex Constraints
A Discontinuous Galerkin Method for the Micro-Macro Formulation of the Vlasov-Poisson-Lenard-Bernstein System
Machine Learning of Collective Behaviors from Observation
Multiscale Modeling from Atomistic Approaches with Machine Learning and Advanced Sampling
ORNL Two-line_color.png (2032Ã—489) Improving Schrödinger Equation Implementations with Gray Code for Adiabatic Quantum Computers Presented by Dr. Jason Chang Hosted by Mathematics in Computation Thursday | August 12 | 3 p.m.–4 p.m. Teams Mi
Improving Schrödinger Equation Implementations with Gray Code for Adiabatic Quantum Computers