Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy

Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy

Understanding lattice deformations is crucial in determining the properties of nanomaterials, which can become more prominent in future applications ranging from energy harvesting to electronic devices. However, it remains challenging to reveal unexpected deformations that crucially affect material...

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Bibliographic Details
Main Authors: Shi, Chuqiao, Cao, Michael C., Rehn, Sarah M., Bae, Sang-Hoon, Kim, Jeehwan, Jones, Matthew R., Muller, David A., Han, Yimo
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2024
Subjects:
Computer Science Applications
Mechanics of Materials
General Materials Science
Modeling and Simulation
Online Access:https://hdl.handle.net/1721.1/153596

Internet

https://hdl.handle.net/1721.1/153596

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