Photonic edge intelligence chip for multi-modal sensing, inference and learning. [PDF]
Zhang S +8 more
europepmc +1 more source
Functionalizing Conductive Diamond: Recent Advance in Fabrication, Modifications, and Applications
This review highlights recent advancements in the synthesis, modification, and electrochemical applications of conductive diamond, particularly boron‐doped diamond (BDD). It emphasizes progress in fabrication methods, including CVD and HPHT, and explores modifications such as doping, surface terminations, and composite design, enabling significant ...
Ning Linghu, Xin Jiang, Jing Xu
wiley +1 more source
A dataset for machine learning model to convective initiation detection and nowcasting over southeastern China. [PDF]
Liu Y, Xiong A, Liu N, Li Y, Chen Z.
europepmc +1 more source
This review provides a comprehensive and systematic overview of the multifunctional design strategies for solid polymer electrolytes (SPEs), a pivotal component for enabling high‐performance all‐solid‐state batteries (ASSBs). It begins with a detailed classification of SPE systems and elaborates on their respective molecular design principles. The work
Bin Man +11 more
wiley +1 more source
A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning. [PDF]
Yao L +7 more
europepmc +1 more source
Design and Demonstration of Optical Radar
openaire +1 more source
Advancing Upcycling and Regeneration of Spent LiFePO4: Failure Mechanisms and Recovery Strategies
This review studies the failure mechanism to promote the upcycling regeneration of spent lithium iron phosphate (S‐LFP). It first summarizes the failure mechanisms of LFP batteries revealed via advanced characterization technologies and then explores the respective advantages and challenges of hydrometallurgy and direct regeneration methods.
Yi Wang +6 more
wiley +1 more source
Millimeter-Wave Body-Centric Radar Sensing for Continuous Monitoring of Human Gait Dynamics. [PDF]
Ganditi Y +4 more
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Nanostructural engineering presents an opportunity for next-generation multi-dimensional camouflage. [PDF]
Wei B, Du J.
europepmc +1 more source

