Results 191 to 200 of about 14,753 (332)

Engineered Carbon Dots as Multifunctional Nanoplatforms for Next‐Generation High‐Performance Advanced Batteries

open access: yesCarbon Energy, EarlyView.
Herein, we mainly summarize the characteristics of the main types of carbon dots (CDs), analyze the strategies for improving advanced batteries' performance via incorporating CDs, comprehensively summarize recent applications of CDs in the main components (electrode, electrolyte, and separator) of advanced batteries, and propose the technical ...
Chuang Jiang   +5 more
wiley   +1 more source

MXenes as a Versatile Platform for High‐Energy‐Density Asymmetric Supercapacitors

open access: yesCarbon Energy, EarlyView.
MXenes with high conductivity and tunable surface chemistry are reviewed as advanced electrodes for asymmetric supercapacitors. MAX‐phase synthesis, surface and interlayer engineering, defect modulation, and composite designs are discussed, highlighting enhanced ion transport, pseudocapacitance, energy density, cycling stability, and sustainable routes
Seul‐Yi Lee   +3 more
wiley   +1 more source

From digital chest tomosynthesis to 3D CT. [PDF]

open access: yesRadiat Prot Dosimetry
Simkó A   +6 more
europepmc   +1 more source

Ternary Crosslinking Builds Nanosheet Hard Carbon and Interfacial Polarization Regulates Na⁺ Kinetics in Hard Carbon Anodes

open access: yesCarbon Energy, EarlyView.
Nanosheet Hard Carbon for Fast Na+ Storage ABSTRACT Hard‐carbon anodes for sodium‐ion batteries are often constrained by low initial Coulombic efficiency, severe interfacial polarization, and sluggish Na⁺ kinetics, especially when porosity engineering amplifies electrolyte consumption.
Dongke Cai   +5 more
wiley   +1 more source

Deciphering Polarity Effects of Polymer to Regulate Li+ Ionic Environment in Solid Polymer Electrolytes for Solid‐State Lithium Batteries

open access: yesCarbon Energy, EarlyView.
We elucidate the fundamental influences of polymer polarity on Li+ ionic environments in solid polymer electrolytes by considering four critical components: Li+, FSI−, residual solvents, and polymer matrix. Beyond facilitating LiFSI dissociation and Li+ transport, our findings underscore previously overlooked roles of polymer polarity, thereby ...
Ji‐Oh Kim   +7 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

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