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The research in the ARTISANS group revolves around uncertainty quantification (UQ) and scientific machine learning (SciML). The goal is to combine SciML, experimentation and modeling & simulation (M&S) into a unified approach to improve the predictive capabilities of computer models and enable reduced reliance on expensive measurement data. Additionally, the application of such research will be focused on risk and economics evaluations of advanced nuclear reactors, such as small modular reactors and micro-reactors. The ultimate goal is to dramatically reduce the capital and operating costs of nuclear systems to maintain global technology leadership for nuclear energy.
Our main research interests include: (1) calibration, validation, data assimilation, uncertainty and sensitivity analysis; (2) computational statistics, reduced order modeling; (3) Bayesian inverse problems; (4) scientific machine learning and deep generative learning; (5) system thermal-hydraulics, nuclear fuel performance modeling, multi-physics coupled simulation; (6) advanced reactors, small modular reactors, micro-reactors.
Recent News
- Soffiia awarded ANS general scholarshipSofiia has been selected for the American Nuclear Society (ANS) general scholarship.
- Dr. Wu elected to the ANS THD Executive committeeDr. Wu has been elected to the Executive Committee of the Thermal Hydraulics Division of the American Nuclear Society (ANS).
- Dr. Wu awarded Distinguished Early Career AwardDr. Wu has been awarded the US DOE Office of Nuclear Energy Distinguished Early Career Program (DECP). He will receive $625,000 funding support over the…
- Jason and Sofiia awarded US DOE UNLP scholarshipsBoth Jason and Sofiia have been awarded the $10,000 US DOE University Nuclear Leadership Program (UNLP) Scholarship for the 2024 – 2025 academic year.
- Lauren awarded US DOE UNLP FellowshipLauren has been awarded the US DOE University Nuclear Leadership Program (UNLP) Fellowship, a three-year, $169,000 fellowship beginning in the Fall of 2024. It will…
- Lauren won the Best Presentation Award at ANS Student ConferenceCongratulations to Lauren for winning the Best Presentation Award in the Division of Power Reactor Reliability Operations & Safety at the 2024 ANS Student Conference,…
- Lauren won the Best Overall Paper award at ANS Student ConferenceCongratulations to Lauren and Jason for winning the Best Overall Paper Award at the 2024 ANS Student Conference, for a paper titled “ML-LIBS: Machine Learning-Based…
- Our Technical Opinion Paper accepted by NEDOur invited Technical Opinion Paper (TOP) titled “ARTISANS – Artificial Intelligence for Simulation of Advanced Nuclear Systems for Nuclear Fission Technology” has been accepted for…
- Aidan defended his MS thesisAidan successfully defended his MS thesis, with the title “Prediction of CIPS Susceptibility in PWR Assemblies Using 3D Convolutional Neural Networks.”