Thermally Actuated Soft Robotics
This review focuses on the recent development of thermally actuated soft robotics, highlighting the four major heating mechanisms, as well as structural designs, thermal management, material innovations, and emerging applications. A summary and outlook section present the current challenges of thermally actuated soft robots and the future directions to
Shuang Wu+2 more
wiley +1 more source
DSTF-GKAN: A lightweight spatiotemporal fusion framework for real-time eavesdropping detection in dynamic smart grid networks. [PDF]
Wang R+4 more
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Additive Manufacturing of Neuromorphic Systems
The crossover of additive Manufacturing (AM) and neuromorphic engineering promises a new paradigm in the fabrication of intelligent hardware—one that is sustainable, scalable, cost‐efficient, and customizable. The AM‐printed neuromorphic hardware (electronics and mechanical systems) is examined, and we discussed the technological integration.
Jiongyi Yan+3 more
wiley +1 more source
The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence. [PDF]
Pu Y, Li H, Hou W, Pan X.
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Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong+12 more
wiley +1 more source
Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis. [PDF]
Zhang Z+5 more
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Practical Considerations in the Design and Use of Non‐Crystalline Metal–Organic Frameworks
This review explores the emerging field of non‐crystalline MOFs ‐ amorphous, liquid, and glassy forms ‐ highlighting how they differ from traditional crystalline MOFs. It discusses their unique synthesis strategies, fundamental principles, and diverse applications.
Hamidreza Mahdavi+8 more
wiley +1 more source
Collective cooperative intelligence. [PDF]
Barfuss W+13 more
europepmc +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
An automated framework for exploring and learning potential-energy surfaces. [PDF]
Liu Y+8 more
europepmc +1 more source