Results 231 to 240 of about 97,501 (249)

Cellulose‐Based Electrolytes in Rechargeable Zn‐Battery: An Overview

open access: yesAdvanced Sustainable Systems, EarlyView.
Zn‐ion battery with cellulose‐based electrolyte and diffused cathode such as MnO2 and V2O5 can be actually proposed as a rechargeable system for energy storage from renewable sources such as solar and wind, due to its relevant cycle life and the remarkably competitive low cost.
Jusef Hassoun   +2 more
wiley   +1 more source

Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery

open access: yesAdvanced Sustainable Systems, EarlyView.
This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee   +4 more
wiley   +1 more source

Fluorine-rich interface for garnet-based high-performance all-solid-state lithium batteries. [PDF]

open access: yesChem Sci
Suriyakumar S   +5 more
europepmc   +1 more source

Bifunctional WO3 Photoelectrodes Decorated by Inkjet Printing for Solar Supercapacitors

open access: yesAdvanced Sustainable Systems, EarlyView.
WO3 bifunctional photoelectrodes, produced by screen printing and then superficially decorated by inkjet printing, are successfully applied to prepare solar supercapacitors. Under illumination, the areal capacitance is enhanced thanks to the positive contribution of the photogenerated charges and the higher exposed area; its value becomes even more ...
Nicola Sangiorgi   +5 more
wiley   +1 more source

Effect of Atomic Charges on C2H2/CO2/CH4 Separation Performances of Covalent‐Organic Framework Adsorbents

open access: yesAdvanced Theory and Simulations, EarlyView.
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley   +1 more source

Effect of Co and Mn Doping on the Electronic and Magnetic Properties of XC₂ (X = Hf, Zr) MXene Monolayers: A First‐Principles Study

open access: yesAdvanced Theory and Simulations, EarlyView.
The electronic and magnetic properties of Co and Mn doped Hf₂C and Zr₂C MXene monolayers are investigated using first principles DFT+U calculations. Doping significantly modifies both the electronic structure and magnetic behavior, with bandgap opening that may be suitable for infrared applications.
Emre Bölen, Meryem Derya Alyörük
wiley   +1 more source

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