Results 181 to 190 of about 310,625 (270)

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Innovative integration of wearable ECG monitoring vest and drone-delivered AED for high-rise for cardiac emergency rescue: a pilot study. [PDF]

Resusc Plus
Jiang H, Wang S, Ouyang W, Pan M, Pan X.
europepmc   +1 more source

Injectable Dual‐Network Hydrogel System for Osteochondral Repair Combining Immunomodulation, Mechanical Adaptability, and Enhanced Tissue Integration

Advanced Functional Materials, EarlyView.
A UV‐triggered injectable dual‐network hydrogel is reported as the first application of bletilla striata polysaccharide (BSP) in osteochondral repair. By integrating methacrylamide‐modified BSP and nitrobenzaldehyde‐functionalized hyaluronic acid, the system achieves immunomodulation, mechanical reinforcement, and dynamic tissue adhesion, thereby ...
Jiaming Cui, Feifei Zhou, Yuan Luo, Tao Ouyang, Huiwu Zhang, Songmiao Cheng, Qiang Li, Xu Jiang, Yingying Yu, Yicheng Wang, Hong Ming   +10 more
wiley   +1 more source

Vision-Based People Counting and Tracking for Urban Environments. [PDF]

J Imaging
Nurseitov D, Bostanbekov K, Toiganbayeva N, Zhalgas A, Yedilkhan D, Amirgaliyev B.   +5 more
europepmc   +1 more source

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source

Microscale Architectures for Intelligent Soft Robotics: From Functional Microneedles to Biointegrated Wearable Systems. [PDF]

Nanomicro Lett
Li X, Xu R, Xie C, Ge Z, Gao B, Lim CT.
europepmc   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Research on vehicle trajectory planning algorithm integrating spatiotemporal constraints and adaptive curvature. [PDF]

Sci Rep
Zhao Y, Wang J, Li P, Wang H.
europepmc   +1 more source

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source

Sustainable cyber-physical VANETs with AI-driven anomaly detection and energy-efficient multi-criteria routing using machine learning algorithms. [PDF]

Sci Rep
Wong WK, Baskar S, Abubeker KM, Ng PK.
europepmc   +1 more source