Using Deep Learning to Understand and Design Heterogeneous Materials
The drive to develop materials with superior performance and multifunctional capabilities has underscored the importance of precisely controlling material heterogeneity, establishing it as a pivotal component of materials science and engineering. From a compositional standpoint, the materials-by-des...
Main Author: | Yang, Zhenze |
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Other Authors: | Buehler, Markus J. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/155384 |
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