Nuclear engineering and radiation science at S&T is committed to delivering innovative computational reactor physics solutions for the advanced Generation IV reactor system. Our group focuses on the broad domains of modeling advanced reactor core; multiphysics modeling for thermal-hydraulics; and robustness analysis using uncertainty quantification and sensitivity analysis. Our ongoing research includes the design of small and micro-size reactors; evaluation of nuclear fuel cycle and nonproliferation; high-fidelity code development; and machine learning and decision-making algorithms for reactor analysis.
Interested in discussing the research we are working on or learning more? Please contact:
Interim Chair and Associate Professor
High fidelity nuclear systems design and modeling, Advanced fuel cycles, Radioactive waste management and Nuclear systems safety
Multiscale & Multiphysics modeling; Artificial Intelligence; Machine learning; Digital Twin; Uncertainty Quantification; Robust Optimization (Deep Learning and Quantum Computing).