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Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Insect‐scale crawling robots can traverse confined environments; nevertheless, their functionalities are predominantly restricted to sensing because of challenges in integrating actuated degrees of freedom. Herein, a miniature rotary electrostatic clutch is presented by incorporating cutting patterns in the clutch layer.
Jongeun Lee +4 more
wiley +1 more source

