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Computer Science and Mathematics

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 (2032×489) 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

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