Results 81 to 90 of about 1,574,680 (246)

Life Cycle Cost Assessment of Electric, Hybrid, and Conventional Vehicles in Bangladesh: A Comparative Analysis

World Electric Vehicle Journal
The automobile industry is shifting from internal combustion engine vehicles (ICEVs) to hybrid electric vehicles (HEVs) or electric vehicles (EVs) extremely fast.
Md. Sarowar Khaled, Abdalla M. Abdalla, Pg Emeroylariffion Abas, Juntakan Taweekun, Md. Sumon Reza, Abul K. Azad   +5 more
doaj   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

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

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

Security and privacy in edge computing: a survey of electric vehicles

Digital Communications and Networks
Electric Vehicles (EVs) have developed into a complex ecosystem that includes many technical components such as task offloading on mobile devices, the Internet of Vehicles (IoV), and smart grids.
Honghao Gao, Wanqiu Huang, Yueshen Xu, Youhuizi Li   +3 more
doaj   +1 more source

Targeted Multifunctional Fluorine‐Rich Copolymer Coating Design for Ambient‐Stable Prelithiated SiOC Anodes

Advanced Science, EarlyView.
A fluorine‐rich acrylate copolymer, poly (tridecafluorooctyl methacrylate‐co‐methyl methacrylate) (PFMMA), is introduced as a multifunctional protective coating to stabilize the prelithiated SiOC electrodes in humid conditions and preserve unimpeded interfacial ion/charge transport during redox reactions.
Rong Chen, Yixuan Fan, Congcong Zhang, Yinan Liu, Yun Zheng, Ruifeng Zheng, Yingying Shen, Pingshan Jia, Luojiang Zhang, Yongbing Tang, Huaiyu Shao   +10 more
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

A Fuzzy Logic-Based Energy Management Approach for Fuel Cell and Photovoltaic Powered Electric Vehicle Charging Station in DC Microgrid Operations

IEEE Access
Hydrogen and electric vehicles (EVs) stand out as two promising technologies with the potential to revolutionize the future of transportation. The adoption of hydrogen and EVs indicates a noteworthy shift in the transportation paradigm, offering the ...
Recep Cakmak, Gokay Bayrak, Mehmet Koc
doaj   +1 more source

Critical Review of Direct-Drive In-Wheel Motors in Electric Vehicles

The primary challenge for electric vehicles in replacing oil-fueled vehicles today is their limited range, despite significant advancements in energy storage technology and alternative fuel vehicles over the past few decades. Direct-drive in-wheel motors
Litao Dai, K. T. Chau, Niu, S, Li, L, Fu, W, Chau, KT, Liang Li, Dai, L, Shuangxia Niu, Weinong Fu   +9 more
core   +1 more source

Neuropeptide Y—Graphene Oxide Complexes Inhibit Amygdala NPY‐Receptor Expressing Glutamatergic Pathways and Selectively Remove Aversive Memory In Vivo

Advanced Science, EarlyView.
A graphene oxide nanocarrier presents neuropeptide Y specifically to NPY receptor‐expressing pathways in the amygdala, whose activation selectively suppresses aversive memory formation, without modulating anxiety responses. This circuit‐restricted drug release strategy may impact future design of neuropsychiatric therapies with limited off‐target ...
Elisa Pati, Audrey Franceschi Biagioni, Raffaele Casani, Luis M. Arellano, Tommaso Battisti, Gloria Garcia‐Ortega, Neus Lozano, Alberto Bianco, Kostas Kostarelos, Laura Ballerini, Giada Cellot   +10 more
wiley   +1 more source