Results 81 to 90 of about 131,184 (241)

Tailoring Microstructure in Copper‐Based Conductive Metal–Organic Frameworks for Enhanced Chemiresistive Sensing and Uptake of Sulfur Dioxide

Advanced Functional Materials, EarlyView.
Precursor‐ and solvent‐mediated synthesis yields four Cu3(HHTP)2 morphologies with distinct physicochemical, sorption, and sensing properties toward SO2. Uptake capacities correlate with BET surface area, while sensing performance scales with particle aspect ratio.
Patrick Damacet, Zhuoran Zhong, Elí Sánchez‐González, Camille L. Slagle, Ilich A. Ibarra, Katherine A. Mirica   +5 more
wiley   +1 more source

Coordinated Multi‐Component Gradient Engineering of Catalyst Layers for Advanced Polymer Electrolyte Fuel Cells

Advanced Functional Materials, EarlyView.
This work presents a continuous linear gradient catalyst layer design, a general strategy for improving membrane electrode assemblies across electrochemical devices. Fabricated via a dual‐nozzle spray coating method, the architecture controls the Pt/carbon ratio, ionomer content and ionomer type across the catalyst layer, enhancing proton conduction ...
Shangwei Zhou, Matt P. Tudball, Yiming Guo, Bia Brandt, Adam Zucconi, Wenjia Du, Junfu Bu, Daniel H. C. Wan, Jianuo Chen, Emanuele Magliocca, Feng Ryan Wang, Alexander J.E. Rettie, Patrick S. Grant, Paul R. Shearing, Rhodri Jervis, Thomas S. Miller   +15 more
wiley   +1 more source

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou, Yu Mao, Mengyao Chang, Ziyun Wang, Wenke Xie, Cuizhu Ye, Shanghai Wei, Lars Thomsen, Geoffrey I. N. Waterhouse   +8 more
wiley   +1 more source

Optimizing EV Battery Management: Advanced Hybrid Reinforcement Learning Models for Efficient Charging and Discharging

Energies
This paper investigates the application of hybrid reinforcement learning (RL) models to optimize lithium-ion batteries’ charging and discharging processes in electric vehicles (EVs).
Sercan Yalçın, Münür Sacit Herdem
doaj   +1 more source

From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage

Advanced Functional Materials, EarlyView.
This study introduces a new concept for carbon management that relies on the carbonation of industrial gypsum waste and yields phase‐pure vaterite at ambient conditions without any additives. The obtained vaterite is further shown to be a reactive material that develops compressive strength in aqueous suspensions like conventional cements.
Carlos Pimentel, German Montes‐Hernández, Pablo Almarza‐Cifuentes, Matthias Kellermeier, Alexander E.S. Van Driessche   +4 more
wiley   +1 more source

Battery Aging and the Kinetic Battery Model

, 2016
Batteries are omnipresent, and with the uprise of the electrical vehicles will their use will grow even more. However, the batteries can deliver their required power for a limited time span. They slowly degrade with every charge-discharge cycle. This degradation needs to be taken into account when considering the battery in long lasting applications ...
Jongerden, M.R., Haverkort, Boudewijn R.H.M.   +1 more
openaire   +1 more source

Solar Heating Enhanced Selective Recovery of Metal Ions Through Flowing Electrodes Enabled by Hybrid Carbon Nanostructures

Advanced Functional Materials, EarlyView.
A new electrochemical system based on a microporous hybrid of carbon nanoplatelets and nanotubes to selectively capture Ni2+ from wastewater is constructed. The system temperature rises rapidly when irradiated with sunlight, which enhances the Ni2+ removal rate by 250% and the selectivity by 53%, and the energy consumption is also reduced by 51 ...
Ziquan Wang, Jiaqi Chen, Qiuru Lin, Mingxing Liang, Bo Yang, Yantao Chen, Minjun Kim, Yusuke Yamauchi, Stephen J. Eichhorn, Zhiqun Lin, Magdalena Titirici, Libo Deng   +11 more
wiley   +1 more source

Artificial Amorphous Interface Matters for Boosting High‐Voltage Stable LiCoO2 Cathode

Advanced Functional Materials, EarlyView.
The amorphization of phosphate‐based surface layer with favorable Li‐ion conducting kinetics is realized by precisely tailored atomic‐level fabrication. This amorphous coating enables the lithium cobalt oxide (LCO) cathode superior high‐voltage rate capability and cycling performance, owing to the fast interfacial ionic transport and maintained ...
Jinjin Ma, Yipeng Sun, Xiaozhang Yao, Haoqi Ren, Wen Zhang, Jian Peng, Ruizhi Yu, Ruying Li, Changhong Wang, Jigang Zhou, Xueliang Sun   +10 more
wiley   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

Thermal–Electrical–Mechanical Coupled Finite Element Models for Battery Electric Vehicle

Machines
The safety of lithium-ion batteries is critical to the safety of battery electric vehicles (BEVs). The purpose of this work is to develop a method to predict battery thermal runaway in full electric vehicle crash simulation.
Chenxi Ling, Leyu Wang, Cing-Dao Kan, Chi Yang   +3 more
doaj   +1 more source