The CSE PhD trains scholars to couple physics, data, and scalable algorithms. Candidates run billion-cell simulations on Frontier, craft physics-informed neural nets for hypersonics, and co-design exascale codes with DOE labs and NVIDIA.
Adaptive mesh refinement CFD of tsunami run-up on coastal cities
Exascale Monte-Carlo neutronics for molten-salt reactors
Physics-informed transformers for climate down-scaling
Coupled ice-sheet–ocean simulations under collapsing shelves
GPU-optimized agent-based epidemic spread in megacities
Quantum-chemistry workflow for perovskite solar design
Uncertainty quantification in hypersonic boundary-layer transition
Hybrid MPI-HPX seismic wave propagation solver
Reduced-order model of Li-metal dendrite growth in batteries
AI-guided parameter sweep for polymer rheology
Multiphase lattice-Boltzmann modeling of fuel injectors
Graph analytics for billion-node protein interaction networks
Interactive visualization of petabyte weather ensembles
Sparse-grid solver for high-dimensional option pricing
Patent-scale NLP pipeline for materials discovery clustering
Compute the future—from atoms to exoplanets—at massive scale.
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