Results 121 to 130 of about 279,790 (255)
Advanced Science, EarlyView.Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes +13 more
wiley +1 more source
Advancing Energy Efficiency in Smart Windows via Dual‐Responsive Electro‐Thermochromism
Advanced Science, EarlyView.A durable and stable quasi‐solid‐state electro‐thermal dual‐responsive photothermal regulation device has been employed in advanced energy‐efficient smart windows. The devised device not only incorporates a thermochromic hydrogel characterized by high ionic conductivity, high optical transmittance, and a low LCST, but also comprises an electrochromic ...
Tongyu Chen +10 more
wiley +1 more source
Advanced Electronic Materials, Volume 11, Issue 6, May 2025.A straightforward method is introduced to produce ion‐gel films with very low surface roughness by employing a solution‐shearing coating process. These ion‐gel films permit the growth of crystalline thin films of various small molecule organic semiconductor molecules directly on top of the ion‐gel layer, thereby enabling “inverted” small molecule ...
Jonathan Perez Andrade +10 more
wiley +1 more source
SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range
Advanced Electronic Materials, EarlyView.A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel +6 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Advanced Electronic Materials, EarlyView.Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
La administración de la seguridad ciudadana: selección de problemas a comienzos del siglo XXI
Revista Vasca de Administración Pública, 2002 Javier Barcelona Llop
doaj +1 more source
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Advanced Energy Materials, EarlyView.Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
Agribusiness, EarlyView.ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source