Events

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
Digging out Genetic Roots using an Exact Approach
Nonlocal phase-field models with sharp-interface dynamics and applications to solidification
Advances of Momentum in Optimization Algorithm and Neural Architecture Design