Predicting carbon nanotube forest growth dynamics and mechanics with physics-informed neural networks

Computational Materials Science 2026

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Authors: Andrew Reinhard, Junyong Shin, Marshall B. Lindsay, Scott D. Kovaleski, Filiz Bunyak, Matthew R. Maschmann

DOI: 10.1016/j.commatsci.2026.114579

Cited by: 0

References: 31

Fields of Study & Subjects

Model Reduction and Neural Networks Machine Learning in Materials Science Carbon Nanotubes in Composites

References 31