A Physics-Informed Neural Network-Enhanced Material Point Method for Regression Simulation of Solid Propellant

Published: 5 November 2024| Version 1 | DOI: 10.17632/468sdvzb5z.1
Contributor:
geng xu

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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Institutions

Northwestern Polytechnical University

Categories

Combustion, Solid Propellant

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