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...

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Bibliographic Details
Main Author: Yang, Zhenze
Other Authors: Buehler, Markus J.
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/155384