Project Grant 2309520

The University of California Irvine was awarded a $389,999 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support research into computational methods for learning and generating stochastic particle representations of mathematical models in physics and biology. Specifically, the university will develop a new class of computational tools integrating particle simulation and machine learning for applications such as modeling pattern formation in bacteria, cancer cell invasion, wildfire spreading, and turbulent combustion. The tools aim to speed prediction through light weight deep neural networks trained on data generated by particle simulations. The university will also investigate convergence and acceleration aspects of the resulting algorithms. The grant period is from July 1, 2023 to June 30, 2026.