Results 111 to 120 of about 1,651,776 (309)

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Functionalized carboxylate molecule-enabled quasi-localized high concentration electrolyte for high-stability lithium-ion batteries

Nano Research Energy
Advanced electrolyte engineering is a crucial solution for the development of high-energy lithium-ion batteries (LIBs) coupled with ultrahigh nickel cathode.
Xiangshao Yin, Junru Wu, Mengyuan Zhou, Xianshu Wang, Liang Luo, Xiaoping Yang, Jianguo Duan, Peng Dong, Yingjie Zhang, Zhenghui Pan, Ding Wang   +10 more
doaj   +1 more source

Dual Single Atoms Boosting Photocatalytic Upcycling of Raw Polyvinylidene Fluoride Plastic

Advanced Materials, EarlyView.
To resolve the catastrophic disaster of plastic contamination, the Cu‐Fe dual‐single‐atom‐loaded In2P3S9 NSs photocatalyst was prepared for direct conversion of raw polyvinylidene fluoride plastic into valuable chemicals. The dual‐single‐atom catalyst exhibits exceptional performance, with a total acetic/formic acid production of ∼1351.8 µmol g−1 ...
Amin Talebian‐Kiakalaieh, Shiying Ren, Wenzhong Ji, Yun Liu, Bingquan Xia, Jingrun Ran, Shi‐Zhang Qiao   +6 more
wiley   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Water/Ionic Liquid Hybrid Electrolyte for High Cycling Stability and Low-Temperature Adaptability in Aqueous Lithium-Ion Battery. [PDF]

Adv Sci (Weinh)
A dilute hybrid electrolyte containing only 10 mol% [EMIM][DEP] simultaneously reorganizes the water hydrogen‐bond network and creates an ionic‐liquid‐rich region at the anode. This coupled bulk and interfacial regulation suppresses freezing and hydrogen evolution, broadens the electrochemical stability window, and enables an aqueous LMO/LTP full cell ...
He J, Zhou L, Cong M, Li K, Lee D, Ji J, Deng J, Li Z, Huang B.   +8 more
europepmc   +2 more sources

Synthesis of Ti2B2Clx MBenes in Molten Salts From Theoretical and Experimental Perspectives

Advanced Materials, EarlyView.
By integrating a theoretical framework with experiments, Ti2InB2 was selectively etched with ZnCl2 to produce a multilayer (ml) Ti2B2Clx MBene. The In atoms are completely removed, with simultaneous incorporation of chlorine surface terminations. in situ x‐ray diffraction indicates a direct biphasic transformation from Ti2InB2 to ml‐MBene, with no ...
Rodrigo M. Ronchi, Emile Defoy, Andrejs Petruhins, Justinas Palisaitis, Leiqiang Qin, Joseph Halim, Lianghao Yu, Lan Tang, Solenn Reguer, Dominique Thiaudière, Ningjun Chen, Durga Sankar Vavilapalli, David Portehault, Jonas Björk, Per O. Å. Persson, Johanna Rosen   +15 more
wiley   +1 more source

Deep learning based emulator for predicting voltage behaviour in lithium ion batteries

Scientific Reports
This study presents a data-driven battery emulator using long short-term memory deep learning models to predict the charge–discharge behaviour of lithium-ion batteries (LIBs).
Kanato Oka, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Syuto Noguchi, Masayuki Karasuyama, Yoshiya Fujiwara, Takuhiro Miyuki   +7 more
doaj   +1 more source

Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends [PDF]

Machine Learning has garnered significant attention in lithium-ion battery research for its potential to revolutionize various aspects of the field. This paper explores the practical applications, challenges, and emerging trends of employing Machine ...
Amirhosseini, Mohammad, Valizadeh, A.
core   +1 more source

Mechanically‐Driven Reconstruction of Lithium Metal for Stable All‐Solid‐State Batteries

Advanced Materials, EarlyView.
Mechanical reconstruction reorganizes commercial Li from surface to bulk by refining surface topography, renewing the native passivation layer, and establishing a strongly (200)‐preferred texture. Native‐passivation renewal promotes interfacial Li‐ion transport, whereas texture homogenization regulates the spatial distribution of Li flux and supports ...
Yujian Sun, Hugo Celio, Arumugam Manthiram   +2 more
wiley   +1 more source

Data series for lithium-ion battery technologies

Data series for lithium-ion battery technologies described and used in the article "Re-examining rates of lithium-ion battery technology improvement and cost ...
Ziegler, Micah S., Trancik, Jessika E.
core   +1 more source