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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

65%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley Data

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Nuclear and High Energy Physics

Field

Physics and Astronomy

Domain

Physical Sciences

Confidence Score

51%

Source

Scholar Data Model

Keywords

CombustionSolid Propellant

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00