Results 51 to 60 of about 109,523 (228)

Gibbs-Preserving Maps outperform Thermal Operations in the quantum regime

open access: yes, 2015
In this brief note, we compare two frameworks for characterizing possible operations in quantum thermodynamics. One framework considers Thermal Operations---unitaries which conserve energy.
Faist, Philippe   +2 more
core   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán   +13 more
wiley   +1 more source

Self‐Assembled Heterosymmetric Structure with Tunable Polarization Optics for Reversible Matrix Encryption

open access: yesAdvanced Functional Materials, EarlyView.
Sustainable films with heterosymmetric structures, harmoniously integrating symmetry and asymmetry, are fabricated using cellulose nanocrystals and hydrophilic nanolignin via evaporation‐induced self‐assembly, which exhibit excellent multiple polarization optical properties.
Qun Song   +7 more
wiley   +1 more source

Fabrication of Free‐Standing Undulating Graphene Oxide Modular Tapered Pipes Using the Marangoni Effect

open access: yesAdvanced Functional Materials, EarlyView.
Free‐standing undulating graphene oxide (GO) modular tapered pipes fabricated based on the Marangoni effect and viscosity control are modular tubular structures that effectively utilize the lamination process between GO films. This novel tubular GO structure allows for the realization of various forms through the assembly of identical modules ...
Cheol‐Hwi Kim   +8 more
wiley   +1 more source

Defect‐Mediated Scintillation in Fully Inorganic Perovskites via Water‐Induced 0D/3D Phase Modulation

open access: yesAdvanced Functional Materials, EarlyView.
A reproducible synthesis to control 3D/0D phase ratios via water‐tuned solvent–antisolvent methods is presented. Enhanced scintillation yield and ultrafast decay are achieved. Defect‐driven emission mechanisms are revealed through cathodoluminescence and radioluminescence, shedding light on the underexplored role of the 0D Cs4PbBr6 and mixed 0D/3D ...
Mario Calora   +18 more
wiley   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

open access: yesAdvanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu   +12 more
wiley   +1 more source

pH scale. An experimental approach to the math behind the pH chemistry

open access: yesChemistry Teacher International
We present an experimental activity designed for upper secondary students, where a pH scale is constructed taking advantage of the ability of a pH indicator to display different colors according to the pH of the medium.
Martha Elena Ibargüengoitia
semanticscholar   +1 more source

Methodology for the Development of Search and Research Skills of Prospective Math Teachers in a Course on Mathematical Physics Equations

open access: yes, 2017
This research proposes theoretical and methodological recommendations that would develop search and research skills applied by prospective math teachers while teaching a course on mathematical physics equations.
B. Sydykhov   +6 more
semanticscholar   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

open access: yesAdvanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh   +4 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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