Results 101 to 110 of about 598,846 (310)

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

Advanced 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, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

Multiphysics Simulator for the IPMC Actuator: Mathematical Model, Finite Difference Scheme, Fast Numerical Algorithm, and Verification [PDF]

, 2020
Anton P. Broyko, Ivan K. Khmelnitskiy, E. A. Ryndin, Andrey V. Korlyakov, Nikolay I. Alekseyev, Vagarshak M. Aivazyan   +5 more
openalex   +1 more source

Obtaining a Neural Network Mathematical Model That Takes Into Account Various Power Supply Schemes [PDF]

, 2021
G. A. Kilin, Б. В. Кавалеров, A. I. Suslov, Marina Kolpakova   +3 more
openalex   +1 more source

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

Advanced 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, Francesco Carulli, Nadir Vanni, Antonella Giuri, Elena Ferrari, Matteo Masino, Laura Lazzarini, Francesca Rossi, Gianluca Accorsi, Anna Moliterni, Davide Altamura, Cinzia Giannini, Luca Cappelletti, Gianluca Quarta, Alberto Quaranta, Rosanna Mastria, Anna Paola Caricato, Sergio Brovelli, Aurora Rizzo   +18 more
wiley   +1 more source

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

Advanced 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, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Convergence of numerical methods for stochastic differential equations in mathematical finance

, 2012
Many stochastic differential equations that occur in financial modelling do not satisfy the standard assumptions made in convergence proofs of numerical schemes that are given in textbooks, i.e., their coefficients and the corresponding derivatives ...
Kloeden, Peter, Neuenkirch, Andreas
core  

Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

Advanced Functional Materials, EarlyView.
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen, Francesco Chiabrera, Alexander Stangl, Laetitia Rapenne, Federico Baiutti, Carmen Jiménez, Albert Tarancón, Mónica Burriel   +7 more
wiley   +1 more source

Retracted: Economic Order Quantity Model‐Based Optimized Fuzzy Nonlinear Dynamic Mathematical Schemes [PDF]

, 2023
Computational Intelligence and Neuroscience
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Cognitive network spectrum access for emergency communications

Tongxin xuebao, 2012
A wireless cognitive network opportunistic spectrum accessing scheme which provided delay guarantee for emergency communications was proposed.Primary user (PU) and secondary users (SU) shared the spectrum resources according to the discrete time two ...
Zheng GUAN, Wen-hua QIAN, Mei-le YU
doaj   +2 more sources