Results 21 to 30 of about 120 (118)
Continuous‐Flow Microfluidic Synthesis Enhances C2+ Selectivity for Cu2O Catalysts
Microfluidic devices are used to prepare Cu2O nanoparticles under laminar flow conditions, which exhibit enhanced selectivity in the CO2‐to‐C2+ reaction due to their nanoporosity and high defect concentration. Cu2O prepared using standard solution methods displays decreased CO2‐to‐C2+ selectivity due to the absence of similar properties. Altogether, we
Carlota Casas +16 more
wiley +1 more source
Charge‐Transfer‐Mediated Boron Magneto‐Ionics: Towards Voltage‐Driven Multi‐Ion Transport
This study demonstrates voltage‐driven multi‐ion transport in FeBO systems, revealing simultaneous motion of B, Fe, and O ions enabled by charge‐transfer effects. By tuning oxidation states through oxygen incorporation, we achieve a transition from electrostatic‐like to electrochemical magneto‐ionic behavior. The findings establish boron magneto‐ionics,
Zheng Ma +15 more
wiley +1 more source
Controlled oxidation of benzyl ether is established as a key synthetic parameter in the thermal decomposition of iron(III) acetylacetonate. Oxygenated solvent species alter precursor coordination and nucleation–growth kinetics, producing highly crystalline, magnetite‐rich nanoparticles with tunable size, controlled morphology, and near‐bulk ...
Lukas Hertle +17 more
wiley +1 more source
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic +4 more
wiley +1 more source
Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome
Quantum‐like dynamics in the human brain. The level of quantum‐like behavior in a non‐quantum system of coupled oscillators is regulated by the spectral gap of the coupling graph. Whole‐brain modelling using QL fits the empirical data significantly better and has a lower model‐derived energy cost than the non‐QL model.
Gustavo Deco +5 more
wiley +1 more source
MOF‐Derived Cu‐TiO2/Alginate Micromotors for Buoyancy‐Regulated 3D Motion
In this work, cyanobacteria‐inspired sodium alginate (SA)/Cu‐TiO2/Fe3O4 hydrogel micromotors generate and encapsulate O2 microvesicles upon light irradiation, enabling buoyancy‐mediated Z‐axis upward migration and surface enrichment at the light‐exposed water‐air surface.
Wei Zou +7 more
wiley +1 more source
SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range
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
Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley +1 more source
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

