Results 211 to 220 of about 266,183 (301)

Science‐Towards‐Technology Breakthrough in CO2 Electroreduction: Multiphysics, Multiscale, and Artificial Intelligence Insights

Advanced Materials, EarlyView.
Electrochemical CO2RR is a key technology for converting CO2 into chemicals, but there remains a gap between “laboratory science” and “engineering practice” in current research. This review establishes a multi‐scale research framework, encompassing atomic‐level characterization, microenvironment regulation, external field‐assisted optimization, and AI ...
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Sustainable EV routing using spectral clustering and fuzzy reinforcement learning with energy constrained A* under mobility index and waiting constraints. [PDF]

Sci Rep
P AP, R R.
europepmc   +1 more source

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, EarlyView.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

A Battery-Free, Data-Informed UV Dose Sensor Made of Laser-Induced Graphene and Bio-Derived Electrolytes. [PDF]

Micromachines (Basel)
Chimerad M, Borjian P, Kashem FB, Rajaraman S, Cho HJ.   +4 more
europepmc   +1 more source

The Possibility of New Complex Magnet Materials

Advanced Materials, EarlyView.
The quest for stronger magnets enters a new era. With the developments of AI‐driven materials discovery, computational prediction of magnetic properties, and autonomous laboratories, researchers can now explore millions of untested structures. Discovery of next‐generation ultra‐powerful magnets – critical for electric vehicles, renewable energy, and ...
G. Jeffrey Snyder
wiley   +1 more source

DLLT: A dual-layer LSTM-transformer model for real-time energy and dynamics prediction in plug-in hybrid electric vehicles. [PDF]

PLoS One
Zhang X, Chen Z, Fang X.
europepmc   +1 more source

Final battery model documentation

Final battery model Task ...
openaire   +1 more source

An Energy Focusing Flexible and Lightweight Acoustic Metamaterial for Enhanced Ultrasound Power Transfer

Advanced Materials, EarlyView.
A flexible and lightweight acoustic metamaterial composed of air cavities encased in polydimethylsiloxane (PDMS) is introduced to enhance ultrasound power transfer. The metamaterial leverages the strong reflectivity of air cavity boundaries to concentrate incoming ultrasound, thereby improving the performance of piezoelectric energy harvesters ...
Hyung‐Suk Kwon, Ziqi Yu, Xiaopeng Li, Ercan M. Dede, Taehwa Lee   +4 more
wiley   +1 more source

SOC Prediction of Li-Ion Battery Based on EKF and CNN-BiLSTM-Attention. [PDF]

ACS Omega
Zhu M, Wang Y, Wang D.
europepmc   +1 more source