A Physics-Informed Neural Network-Enhanced Material Point Method for Regression Simulation of Solid Propellant
xu, geng
Description
Supplementary materials for the manuscript include a one-dimensional neural network model for predicting combustion rate and AP particle size distributions for four Miller packs. The particle size distribution is composed of the x, y coordinates and radius r of the particles.
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Metrics Over Time
Publication Details
Subfield
Nuclear and High Energy Physics
Field
Physics and Astronomy
Domain
Physical Sciences
Confidence Score
51%
Source
Scholar Data Model
Keywords
CombustionSolid Propellant