Results 181 to 190 of about 13,060,318 (232)

Electronic Structure Modulation in Dopant‐Controlled Single‐Atom Graphene Catalysts for Efficient Hydrogen Evolution: A Machine Learning and First‐Principles Study

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
First‐principles DFT calculations and machine learning analysis show that heteroatom doping of graphene (G) significantly enhances the stabilization of transition‐metal single atoms by strengthening metal–support interactions and increasing charge transfer. N‐doped G exhibits higher adsorption energies, lower d‐band centers, and shorter TM–G bonds than
Sajjad Ali   +3 more
wiley   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang   +5 more
wiley   +1 more source

Highly Conductive Networks Encapsulated Borohydride Electrolytes Enabling Superior High Rate Performance for All‐Solid‐State Li‐Ion Batteries

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A nanoscale ZrB2/LiCl network encapsulated LiBH4 solid electrolyte was prepared by mechanically reacting LiBH4 with ZrCl4. Such a composite solid electrolyte exhibits fast ionic conduction and high critical current density. More importantly, the resultant solid electrolyte enables unprecedented cyclability of Li|LiNbO3@LiCoO2 and Li|TiS2 full cells at ...
Shuyang Sun   +9 more
wiley   +1 more source

MXene‐Induced Selective Ion Separation in Capacitive Deionization: Bridging Fundamentals With Frontier Innovations

open access: yesElectron, EarlyView.
This review presents an in‐depth analysis of employing the MXenes electrodes in advancing ion‐selective capacitive deionization technologies, by exploring various strategies to achieve the desired selectivity. It highlights the critical challenges that hinder scalability and practical implementation. The review showcases the future opportunities toward
Rahat Alam   +3 more
wiley   +1 more source

Three-Dimensional Digital Model Reconstruction and Seepage Characteristic Analysis of Porous Polyimide. [PDF]

open access: yesPolymers (Basel)
Dou Z   +9 more
europepmc   +1 more source

On the Variability of Results for Cylinder Flow: A Systematic Analysis of Parameter Sensitivity Within the Lattice Boltzmann Method

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study systematically investigates the variability of cylinder flow results. We provide a comprehensive overview of literature values and, using the lattice Boltzmann method (LBM), show that insufficient convergence studies and variations in simulation parameters are a plausible cause for the significant spread in data.
Maximilian Bille   +4 more
wiley   +1 more source

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