Results 211 to 220 of about 520,054 (307)

Highly Aligned Bacteria Cellulose Yarn Aggregation for Energy Generation and Strain Sensing

Advanced Science, EarlyView.
Although high‐performance bacterial cellulose fibers have attracted significant interest for wearable electronics, a self‐powered and high‐mechanosensitive design is still scarce for achieving an intelligent integrated system. Here, we demonstrate an innovative bio‐fabrication strategy to develop a core‐sheath yarn that features the ordered network and
Chong Gao, Duo Xu, Hui Sun, Sun Ping, Zongxue Gu, Keshuai Liu, Zhiqiang Zhou, Bin Yu, Jian Fang, Weilin Xu   +9 more
wiley   +1 more source

Temperature and voltage effects on the charge and health of lithium-ion battery modules in light electric vehicles. [PDF]

Sci Rep
Quintana JM, Paredes-Rojas JC, Vázquez-Medina R, Jiménez-Ramírez O, Torres-San Miguel CR.   +4 more
europepmc   +1 more source

A Si‐MoSe2 Heterostructured Anode with Enhanced Thermal Transport and Electrochemical Performance for Liquid and All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
Chemically bonded Si@MoSe2@C heterointerfaces with robust Si─Se─Mo bonds enable high‐performance Si anodes. Lattice‐matched MoSe2 on porous Si with carbon‐protective coating delivers 1054 mAh g−1 after 100 cycles and 99.5% Coulombic efficiency over 400 cycles.
Yajun Zhu, Jiaqi Gu, Guangwu Zhang, Tianli Han, Yang Lu, Zhongbing Li, Hang Su, Fei Wang, Haojun Xu, Wentuan Bi, Qiye Zheng, Jinyun Liu   +11 more
wiley   +1 more source

A hybrid optimization and graph network for sustainable electric vehicle charging using a dual active bridge converter and renewable energy. [PDF]

Sci Rep
Narayanan P, Kandasamy P, Kandasamy N, Selvaraj J.   +3 more
europepmc   +1 more source

Microstructure‐Resolved Modeling to Predicting and Regulating Lithium Plating‐Stripping Dynamics on Graphite Electrodes

Advanced Science, EarlyView.
ABSTRACT The lithium plating reaction in graphite electrodes acts as a root cause for the accelerated degradation and the internal short circuits in lithium‐ion batteries. Here, an electrochemical model based on multi‐scale microstructural images was established to identify lithium plating‐stripping processes, thereby supporting the predictive outcomes
Heng Huang, Yang Li, Xinyu Liu, Zhifu Zhou, Wei‐Tao Wu, Lei Wei, Chengzhi Hu, Linsong Gao, Yubai Li, Yongchen Song   +9 more
wiley   +1 more source

To Intervene or Observe: Accidental Ingestion of a Wireless Earbud in an Adult. [PDF]

Cureus
Machado T, Nath A, Madtha J, Vaz A.
europepmc   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source

Spatial dynamics of lithium battery recycling enterprises in China: implications for smart waste management and public health. [PDF]

Front Public Health
Hu F, Yang H, Zhou X, Zhao S, Qiu L, Wei S, Hu J, Chen Y, Hu H, Zhou H.   +9 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]

Sci Rep
Parimala CHH, Varma PS, Kumar RS, Singh AR, Mohapatra B, Addis HK.   +5 more
europepmc   +1 more source