Results 111 to 120 of about 12,038 (262)

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Deep Eutectic Polymer Electrolyte with Competitive Hydrogen‐Bonding Coordination for High‐Voltage Nickel‐rich Lithium Metal Batteries

Advanced Science, EarlyView.
To stabilize high‐voltage Li||NCM811 batteries, we develop an in situ polymerized deep‐eutectic electrolyte (p‐DEPE) featuring competitive hydrogen‐bonding coordination. This design weakens Ni4+ adsorption, suppresses oxygen release, and enhances interfacial stability.
Yuxin Fan, Miao He, Yin Hu, Wei Chen, Yichao Yan, Tianyu Lei, Dongjiang Chen   +6 more
wiley   +1 more source

Electrical‐Stimulation Hydrogel Electronic Skin for Sustainable Hybrid Biomechanical–Electromagnetic Energy Harvesting and Accelerating Wound Healing

Advanced Science, EarlyView.
A hybrid biomechanical–electromagnetic energy‐harvesting e‐skin is developed using a gelatin‐based outer matrix with a zwitterionic conductive inner layer. The e‐skin autonomously generates stable electrical stimulation from daily body motion and ambient electronics, enabling significantly enhanced wound healing bothin vitro and in vivo.
Syun‐Hong Chou, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Pei‐Yi Liu, Yu‐Hsuan Yang, Yi‐Lin Huang, Cheng‐Hung Tsai, Ting‐Yu Yang, Xuan Zhang, Zhi‐Xian Yan, Ying‐Chih Lai, San‐Yuan Chen   +12 more
wiley   +1 more source

Structural optimization and battery temperature prediction of battery thermal management system based on machine learning

Case Studies in Thermal Engineering
Lithium-ion batteries significantly extend the driving range for electric motorcycles. The battery thermal management system (BTMS) is critical for achieving optimal battery performance.
Xiaoyong Gu, Wenbo Lei, Jiacheng Xi, Mengqiang Song   +3 more
doaj   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Thermal management system for lithium-ion batteries

, 2022
Since the world is changing from vehicles with combustion engines to electric motors, new requirements are put on the technology being used. The batteries being used are put through never-before-experienced strains, which therefore results in new problems that require new solutions.
Wang, Kevin, Ripheden, Jonathan
openaire   +1 more source

Unveiling a Hidden Conversion Pathway in CoSe2 Anodes via Rationally Designed CNT‐Interwoven Hollow Carbon Microclusters for High‐Performance Potassium‐Ion Batteries

Advanced Science, EarlyView.
A rational architectural design of hierarchical, CNT‐interwoven hollow carbon microclusters unlocks and stabilizes a unique monoclinic Co3Se4‐mediated conversion–insertion pathway for potassium storage. This structural confinement effectively guides the reaction kinetics and accommodates severe mechanical strain.
Ho Rim Kim, Seohyeon Jang, Hong Geun Oh, Jaewoo Lee, Jihun Yeom, Daiha Shin, Jiung Cho, Inho Nam, Seung‐Keun Park   +8 more
wiley   +1 more source

Impact Characteristics of Dual-Objective Control Strategy on Temperature Control in Direct-Cooling System and Energy Flow in Electric Vehicles

Zhileng xuebao
The thermal management system of electric vehicles has become a key research focus for enhancing cabin comfort and battery performance. To address the different temperature response characteristics of cabin and power battery, this study proposes a direct
ZHANG Chenguang, LIANG Kunfeng, CHEN Haoyuan, WANG Lin, CHEN Bin, CAO Yong, DUAN Haolei, LI Shuopeng, ZHU Dengyu, HE Yaru, YANG Dapeng   +10 more
doaj  

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source