Results 101 to 110 of about 326,856 (211)
Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition and
V.G. Kurbatsky +5 more
doaj
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang +7 more
wiley +1 more source
Rapid microwave plasma torch engineering tunes crystal phases, carbon graphitization and oxygen‐vacancy defects in HfO2/C@C core‐shell fibrous membranes. Synergistic multi‐loss effects optimize impedance matching to deliver −65.75 dB reflection loss and a 7.37 GHz effective bandwidth for flexible electromagnetic wave absorption.
Qichao Ding +14 more
wiley +1 more source
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 more
wiley +1 more source
GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Sodium Bicarbonate Supplementation Enhances Repeated High-Intensity Interval Training Performance and Time Above 90% of V ˙ O 2 max in Well-Trained Cyclists. [PDF]
Feuerbacher JF +4 more
europepmc +1 more source
A pioneering magnetogenetic toolkit enables non‐invasive, precise spatiotemporal modulation of intracellular Wnt/β‐catenin signaling. Functionalized magnetic nanoparticles (MNPs@E/EC15) target cellular E‐cadherins to generate localized magnetomechanical forces under low‐intensity magnetic fields.
Christian Castro‐Hinojosa +7 more
wiley +1 more source
Effects of a three-year maize-soybean rotation on soil bacterial diversity and fumonisin-producing Fusarium spp. inoculum potential. [PDF]
Almeida KA +7 more
europepmc +1 more source
A Miniaturized Autonomous Thermomagnetic Generator
Micro, autonomous and high power thermomagnetic generator operating between a heat dissipator and a processor. ABSTRACT Thermomagnetic generators (TMG) are promising devices for converting low‐grade waste heat into electricity. Self‐actuation using permanent magnets is the key to autonomy.
Morgan Almanza +11 more
wiley +1 more source

