Results 31 to 40 of about 50,998 (266)

A recyclable biomass electrolyte towards green zinc-ion batteries

open access: yesNature Communications, 2023
The operation of traditional aqueous-electrolyte zinc-ion batteries is adversely affected by the uncontrollable growth of zinc dendrites and the occurrence of side reactions.
Hongyu Lu   +9 more
doaj   +1 more source

Water-Stable High Lithium-Ion Conducting Solid Electrolyte of Li1.4Al0.4Ge0.2Ti1.4(PO4)3–LiCl for Aqueous Lithium-Air Batteries

open access: yesFrontiers in Energy Research, 2020
Aqueous lithium-air batteries are one of the most promising batteries for electric vehicles because of its high energy and power density. The battery system consists of a lithium anode and an aqueous solution catholyte, which are separated by a water ...
Fan Bai   +11 more
doaj   +1 more source

High-entropy electrolytes for aqueous batteries: A new frontier

open access: yesNext Energy
The discovery and design of versatile high-entropy electrolytes are instrumental in enabling advanced aqueous energy storage devices. Precisely regulating the intermolecular forces of anion-cation, ion-dipole and dipole-dipole, which enhance the ...
Shibo Chai   +3 more
doaj   +1 more source

Photoelectrochemical water oxidation in anodic TiO2 nanotubes array: Importance of mass transfer

open access: yesElectrochemistry Communications, 2021
In this study, 1-μm-thick TiO2 nanotubes array was prepared through anodization in aqueous or organic electrolytes, and their photoelectrochemical properties were compared.
Moonsu Kim   +5 more
doaj   +1 more source

Dielectric Properties of Aqueous Electrolytes at the Nanoscale

open access: yesPhysical Review Letters
6 pages, 3 ...
Maximilian R. Becker   +5 more
openaire   +3 more sources

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

open access: yesAdvanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir   +5 more
wiley   +1 more source

Extending the low-temperature operation of sodium metal batteries combining linear and cyclic ether-based electrolyte solutions

open access: yesNature Communications, 2022
The low-temperature operation of non-aqueous sodium-based batteries is affected by the properties of the electrolyte. Here the authors propose specific electrolyte formulations that are thermally stable down to −150 °C and enable a stable electrode ...
Chuanlong Wang   +9 more
doaj   +1 more source

Electrolyte design for aqueous batteries

open access: yesScience Advances
Aqueous batteries, with their inherent safety, operational simplicity, and cost-effectiveness, have emerged as promising candidates for grid-scale energy storage applications. However, the relatively low output voltage of aqueous systems continues to limit their achievable energy density.
Hu Hong   +4 more
openaire   +3 more sources

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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