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Marco Island, FL|JW Marriott Marco Island
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NRC engineers share their expertise at the University of Puerto Rico
Robert Roche-Rivera and Marcos Rolón-Acevedo are licensed professional engineers who work at the U.S. Nuclear Regulatory Commission. They are also alumni of the University of Puerto Rico–Mayagüez (UPRM) and have been sharing their knowledge and experience with students at their alma mater since last year, serving as adjunct professors in the university’s Department of Mechanical Engineering. During the 2023–2024 school year, they each taught two courses: Fundamentals of Nuclear Science and Engineering, and Nuclear Power Plant Engineering.
Workshop
Sunday, October 3, 2021|2:00–6:00PM EDT
Session Chair:
Xu Wu (NC State Univ.)
Student Producer:
William Dawn (NC State Univ.)
Machine Learning (ML) is a subset of Artificial Intelligence (AI) that is the study of computer algorithms that improve automatically through experience (data). Deep Learning (DL) is a subset of ML that uses multi-layered neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, language translation and others. Scientific Machine Learning (SciML), more specifically, consists of computational technologies that can be trained with scientific data to augment or automate human skills. ML has been very successful in areas such as computer vision, natural language processing, etc. But its application in scientific computing is relatively new, especially in Nuclear Engineering (NE). This workshop aims at augmenting the applications of AI/ML in scientific computing in NE, and promoting ML-based transformative solutions across various DOE missions.
This workshop includes presentations from five speakers. The topics are listed below:
1: Introduction, Uncertainty Quantification and Scientific Machine Learning, Dr. Xu Wu, Assistant Professor, North Carolina State University
2: NeuroEvolution Optimization with Reinforcement Learning, Dr. Majdi Radaideh, Research Scientist, Massachusetts Institute of Technology
3: A Machine Learning Approach for Scale Bridging in System-level Thermal-hydraulic Simulation, Dr. Han Bao, Computational Scientist, Idaho National Laboratory
4: Machine Learning Augmented Cross Section Evaluation, Dr. Massimiliano Fratoni, Xenel Distinguished Professor, University of California, Berkeley
5: Physics-Informed Machine Learning, Dr. Yang Liu, Nuclear Engineer, Argonne National Laboratory
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Attachment — MC2021_SciML_Workshop_Xu_Wu
Attachment — MC2021_SciML_Workshop_Majdi_Radaideh
Attachment — MC2021_SciML_Workshop_Han_Bao
Attachment — MC2021_SciML_Workshop_Massimiliano_Fratoni
Attachment — MC2021_SciML_Workshop_Yang_Liu
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