When you hear the term ‘research and development,’ it most likely invokes images of test labs, research papers and patents as well as feelings of innovation and analysis. R&D does play a critical part ...

This course will cover advanced topics in the development and analysis of numerical methods for simulation of rigid body motion. Topics will include forward error ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 ...

The IAEA organizes International Collaborative Standard Problems (ICSPs) to facilitate co-operation on advancing reactor technology related activities. These activities include the development, ...

Methods for simulation from multivariate Gaussian distributions restricted to be from outside an arbitrary ellipsoidal region are often needed in applications. A standard rejection algorithm that ...

Established in 2022, our newest department Simulation Methods for Digital Twins concentrates on the seamless integration of cutting-edge numerical methods and simulation techniques into digital twins ...

Analysis and implementation of numerical methods for random processes: random number generators, Monte Carlo methods, Markov chains, stochastic differential equations, and applications. Recommended ...

M. Motamed and D. Appelö, A multi-order discontinuous Galerkin Monte Carlo method for hyperbolic problems with stochastic parameters. SIAM J. Numerical Analysis (Accepted), 2017. pdf A. Kornelus and D ...