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Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source
UCST‐Driven Shape Morphing in Digital Light Processing 4D‐Printed Hydrogels
A DLP‐printable UCST hydrogel based on poly(acrylic acid‐co‐acrylamide) enables reversible thermally induced expansion and 4D shape morphing. Rational control of composition, porosity, and multimaterial architecture enables predictable 4D shape morphing through differential swelling and localized actuation, opening new opportunities for high‐resolution
Fato Niang +2 more
wiley +1 more source
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