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Mapping microstructure to shock-induced temperature fields using deep learning

Engineering and Technology

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.... show more
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Citations
16
Influential Citations
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Reference Count
49
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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