Results 121 to 130 of about 54,278 (285)

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

IEEE Access
This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and potholes ranking as citizens’ top concern, we ...
Mahdi Zareei, Carlos Alonzo Lopez Castaneda, Faisal Alanazi, Fausto Granda, Jesus Arturo Perez-Diaz   +4 more
doaj   +1 more source

Emergent Spin Fluctuation and Structural Metastability in Self‐Intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ Compounds

Advanced Electronic Materials, EarlyView.
Metastable superstructure and emergent spin fluctuation in self‐intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ ABSTRACT Intercalated van der Waals (vdW) magnetic materials host unique magnetic properties due to the interplay of competing interlayer and intralayer exchange couplings, which depend on the intercalant concentration within the van der ...
Clayton Conner, Ali Sarikhani, Theo Volz, Mathew Pollard, Mitchel Vaninger, Xiaoqing He, Steven Kelley, Jacob Cook, Avinash Sah, John Clark, Hunter Lucker, Cheng Zhang, Paul Miceli, Yew San Hor, Xiaoqian Zhang, Guang Bian   +15 more
wiley   +1 more source

A Self-Imputing Deep Multitask Sequence Model for Traffic Disruption Detection in Extreme Conditions

IEEE Access
Abnormal traffic patterns caused by extreme events can significantly disrupt traffic flow across large regions of urban road networks. Timely and reliable detection of such disruptions is crucial for effective traffic management.
Mina Nouri, Mohammad Ilbeigi
doaj   +1 more source

Pressure‐Induced Structural and Magnetic Evolution in Layered Antiferromagnet YbMn2Sb2

Advanced Electronic Materials, EarlyView.
Pressure tunes the delicate balance between structure, magnetism, and electronic states in quantum materials. In YbMn2Sb2, high‐pressure X‐ray and neutron diffraction reveal a trigonal‐to‐monoclinic transition near 3.5 GPa, accompanied by unconventional magnetic ordering.
Mingyu Xu, Matt Boswell, Aya Rutherford, Cheng Peng, Ying Zhou, Shuyang Wang, Zhaorong Yang, Antonio M. dos Santos, Haidong Zhou, Weiwei Xie   +9 more
wiley   +1 more source

Decoding Interfacial Charge‐Carrier Dynamics in Integrated Perovskite/Organic Solar Cells via Numerical Modeling

Advanced Energy Materials, EarlyView.
A physical framework is developed based on drift‐diffusion simulations to elucidate the operation of integrated perovskite/organic solar cells (I‐POSCs) through the lens of interfacial charge‐carrier dynamics. A stepwise analysis establishes key links between carrier transport/recombination phenomena and device performance metrics, offering valuable ...
Jingjing Tian, Chao Liu, Karen Forberich, Rong Wang, Larry Lüer, Christoph J. Brabec   +5 more
wiley   +1 more source

Dual Band Optimization and Defect Engineering Enable Ultrahigh Thermoelectric Performance in Filled Skutterudites

Advanced Energy Materials, EarlyView.
A synergistic dual‐modulation strategy is employed in Yb‐filled skutterudites through concurrent indium filling and tellurium doping to optimize electronic band structure and phonon scattering. Cooperative band convergence and nanoprecipitate‐induced lattice distortions yield a high zT of 1.72 and enable an ultra‐efficient thermoelectric device with 8 ...
Xuri Rao, Jianrui Wang, Xiao‐Bo Tan, Rui‐Heng Li, Huangshui Ma, Yu Yin, Fan Feng, Pingan Song, Min Hong, Jiaqing He, Ran Ang   +10 more
wiley   +1 more source

Road Anomaly Detection with Unknown Scenes Using DifferNet-Based Automatic Labeling Segmentation

Inventions
Obstacle avoidance is essential for the effective operation of autonomous mobile robots, enabling them to detect and navigate around obstacles in their environment. While deep learning provides significant benefits for autonomous navigation, it typically
Phuc Thanh-Thien Nguyen, Toan-Khoa Nguyen, Dai-Dong Nguyen, Shun-Feng Su, Chung-Hsien Kuo   +4 more
doaj   +1 more source

Probing the Cause of Capacity Fade in Large‐Format Li‐Ion Pouch Cells through Multimodal Characterization

Advanced Energy and Sustainability Research, EarlyView.
A comprehensive multimodal characterization of two end‐of‐life cells from a retired Nissan Leaf battery pack, subjected to accelerated aging to mimic extended use in second‐life applications shows that electrolyte degradation and loss is a more critical contributor to cell degradation toward the knee‐point in these cells than degradation of the ...
Emily C. Giles, Abbey Jarvis, Pierrot S. Attidekou, Luke Sweeney, Kieran B. O’Regan, Rosie Madge, Alexander T. Sargent, Beatrice Browning, Anton Zorin, Roberto Sommerville, Alex J. Green, Stefan Michalik, Philip A. Chater, Daniel Reed, Emma Kendrick, Laura L. Driscoll, Peter R. Slater, Phoebe K. Allan, Paul A. Anderson   +18 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source