Neural Network-Based Accelerated Model for Condensed Combustion Products in Solid Propellant
Published: 1 July 2026| Version 1 | DOI: 10.17632/xtcshf38y7.1
Contributor:
Yanfeng JiangDescription
The database contains the training code for both the GCN‑attention neural network and the LSTM neural network, together with 1,000 samples of training data for each of the two models.
Files
Institutions
- Northwestern Polytechnical UniversityShaanxi, Xi'an
Categories
Aluminum, Combustion, Deep Learning