Mechanism-Based Fault Diagnosis Deep Learning Method for Permanent Magnet Synchronous Motor. [PDF]
Sensors (Basel)Li L, Liao S, Zou B, Liu J.
europepmc +1 more source
Advanced Electronic Materials, EarlyView.This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong +4 more
wiley +1 more source
A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors. [PDF]
Adv Sci (Weinh)Zhang Y +10 more
europepmc +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Advanced Electronic Materials, EarlyView.Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
3D LineExplore: a 3D line exploration method for multi-layer PCB geometric routing. [PDF]
Sci RepSun N +6 more
europepmc +1 more source
High‐Density and Scalable Graphene Hall Sensor Arrays Through Monolithic CMOS Integration
Advanced Electronic Materials, EarlyView.This work explores strategies to create high‐density arrays of graphene Hall‐effect magnetic field sensors through monolithic integration with silicon CMOS biasing and multiplexing circuitry. High sensor yield and magnetic sensing performance are achieved through careful choices in the custom CMOS chip design and the graphene integration process.
Vasant Iyer +4 more
wiley +1 more source
The electrophysiology of ventricular cell pairs. [PDF]
Pflugers ArchZaniboni M.
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Topological Materials and Related Applications
Advanced Electronic Materials, EarlyView.This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti +9 more
wiley +1 more source
Deep Learning-Based Fault Diagnosis via Multisensor-Aware Data for Incipient Inter-Turn Short Circuits (ITSC) in Wind Turbine Generators. [PDF]
Sensors (Basel)Wang Q, Cui S, Li E, Du J, Li N, Sun J.
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Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source