Model calibration of the liquid mercury spallation target using evolutionary neural networks and sparse polynomial expansions
Nuclear instruments and methods in physics research Section B, Beam interactions with materials and atoms/Nuclear instruments & methods in physics research Section B, Beam interactions with materials and atoms（2022）
Key words
Liquid mercury,Model calibration,Inverse problems,Optimization,Surrogate modeling,Spallation neutron source
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