Conférences - Simulation - États-Unis

Mathematical models of scientific applications often involve simulations with a large number of degrees of freedom that strain even the most efficient of algorithms. A clear need is the rigorous development of models with reduced complexity that retain fidelity to the application. Mathematics-based reduced-order modeling applies techniques in nonlinear approximation, projection-based discretizations, sparse surrogate construction, and high-dimensional approximation, in order to construct a model surrogate with near-optimal approximation properties. This workshop focuses on theoretical and algorithmic advances in mathematics-based model order reduction of various types: reduced basis methods, projection-based methods for dynamical systems, and sparse and low-rank approximations in high dimensions.

Department of Physics & Astronomy The University of Georgia

Physique de la matière condensée et des matériaux,    Calcul scientifique

American College of Surgeons (ACS)

Génie biomédical,    Chirurgie

The ultimate goal of the US-EU Transport Task Force (TTF) is to develop a physics-based understanding of particle, momentum and heat transport in magnetic fusion devices. This understanding should be of sufficient depth that it allows the development of predictive models of plasma transport that can be validated against experiment, and then used to simulate the future performance of burning plasmas in ITER, and next-step fusion energy reactors.

The 2020 U.S. TTF Workshop will be co-located with the 2020 Sherwood Fusion Theory Conference and coordinated with the 2020 Asia-Pacific Transport Working Group.

Physique des plasmas, fusion nucléaire,    Calcul scientifique

Vanderbilt University, Nashville

The Society for Modeling and Simulation International (SCS)

The American Society of Mechanical Engineers (ASME)

This unique event will bring together engineers and scientists from all disciplines that use computational modeling and simulation to discuss and exchange ideas and methods for verification of codes and solutions, simulation validation, and assessment of uncertainties in mathematical models, computational solutions, and experimental data.

Physique numérique,    Calcul scientifique

Michigan Technological University

The primary focus of the conference is to educate and inspire researchers and students in new and innovative numerical techniques for the parallel-in-time solution of large-scale evolution problems on modern supercomputing architectures, and to stimulate further studies in their analysis and applications.

Stanford University

Computational Methods in Water Resources (CMWR) is a series of biannual conferences which, since 1976, alternate between locations in North America and Europe. CMWR is dedicated to nurturing and promotion of cutting-edge interdisciplinary research on quantitative forecasting of hydrological processes, with a special emphasis on mathematical, computational, and statistical methods.

Data, models, data-driven models, and their use in decision-making

Calcul scientifique,    Hydrologie