Papers

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Applying Constrained Bayesian Optimization to the Design of Criticality Experiments

Daniel J. Siefman (LLNL), Catherine M. Percher (LLNL), Jesse Norris (LLNL)

Deep Surrogate Models for Multi-dimensional Regression of Reactor Power

Akshay Dave (Massachusetts Institute of Technology), Jarod Wilson (Massachusetts Institute of Technology), Kaichao Sun (Massachusetts Institute of Technology)

Assembly Combinatorial Optimisation with Deep Reinforcement Learning

Majdi I. Radaideh (University of Illinois Urbana Champaign), Benoit Forget (Massachusetts Institute of Technology), Koroush Shirvan (Massachusetts Institute of Technology)

Analysis of Reactor Simulations with Deep Learning Surrogate Models

Majdi I. Radaideh (University of Illinois Urbana Champaign), Tomasz Kozlowski (University of Illinois)


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