Engineering and Technologynpj Computational Materials
Mapping microstructure to shock-induced temperature fields using deep learning
C. Li, J. C. Verduzco, et al.
Discover how Chunyu Li, Juan Carlos Verduzco, Brian H. Lee, Robert J. Appleton, and Alejandro Strachan are revolutionizing the field of materials engineering with their innovative MISTnet model, which uses deep learning for predicting shock-induced temperature fields in composite materials with unmatched accuracy and efficiency.
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