Center Overview
The Center for Multiscale Modeling of Multiphase Combustion (CM3C) is a Predictive Science Academic Alliance Program (PSAAP) center led by the University of Florida in collaboration with Purdue University and The University of Texas at Austin.
CM3C addresses the phase change and group combustion of dense particle clouds under high-speed and detonation conditions. The Center develops multiscale predictive models that combine scientific computing and machine learning to enable predictive simulations of these complex multiphase systems.
A central objective is to predict the spatio-temporal, higher-order statistics of phase change and combustion in polydisperse multiphase systems through exascale computation. The Center links microscale, mesoscale, and macroscale physics through high-fidelity simulations, experiments, physics-informed machine learning, uncertainty quantification, and scale bridging.
CM3C Approach
Exascale-enabled Discovery
Use high-fidelity exascale simulation to investigate the complex physics of group combustion under high-speed and detonation conditions.
Physics-informed Machine Learning
Bridge physical scales using generative and operator-learning models informed by high-fidelity particle-resolved simulations.
Validation & Uncertainty Quantification
Use relay validation and uncertainty budgets to guide simulations, experiments, model improvement, and uncertainty reduction.
Exascale Computing
Develop scalable algorithms, dynamic load balancing, and computational methods for predictive multiphase simulations on emerging exascale systems.
CM3C is supported through the U.S. Department of Energy/NNSA Predictive Science Academic Alliance Program (PSAAP-IV) .