Results 21 to 30 of about 40,727 (255)

Stage‐Specific Patterns of Imaging and Non‐Motor Biomarkers in Spinocerebellar Ataxia Type 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Advancements in disease‐modifying therapies for spinocerebellar ataxia Type 3 (SCA3) underscore the need for robust biomarkers to monitor disease progression and evaluate treatment efficacy. Although motor phenotypes have been well characterized, less is known about non‐motor and imaging‐based features across different disease stages.
Chun Li, Zhi‐Xian Ye, Xuan‐Yu Chen, Liang‐Liang Qiu, Zhi‐li Chen, Yu‐Sen Qiu, Wei Lin, Ru‐Ying Yuan, Xin‐Tong Yu, Chun‐Yu Huang, Xin‐Yuan Chen, Min‐Ting Lin, Jian‐Ping Hu, Wan‐Jin Chen, Ning Wang, Shao‐Bo Yao, Shi‐Rui Gan, Ying Fu   +17 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Electronically tailored metal-ion-chelation strategy promotes ionic liquid catalysis at near-ambient condition

Nature Communications
Electronic properties of active sites profoundly influence catalytic production of value-added chemicals; however, rational description and modulation is still a significant challenge.
Tianhao Zhang, Yuan Tian, Chong Zhang, Tingting Yan, Hanwen Yan, Guoliang Zhang, Jie Li, Zengxi Li, Gang Wang, Chunshan Li, Suojiang Zhang   +10 more
doaj   +1 more source

Chemical Composition-Driven Machine Learning Models for Predicting Ionic Conductivity in Lithium-Containing Oxides

Electrochemistry
A machine learning model that can predict the ionic conductivity of lithium-containing oxides using chemical composition and ionic conductivity data was previously developed.
Yudai IWAMIZU, Kota SUZUKI, Michiyo KAMIYA, Naoki MATSUI, Kuniharu NOMOTO, Satoshi HORI, Masaaki HIRAYAMA, Ryoji KANNO   +7 more
doaj   +1 more source

High‐Resolution Corrosion Fingerprinting of Alloy Libraries via Microdroplet Spectroelectrochemistry

Advanced Engineering Materials, EarlyView.
Ionic‐liquid microdroplet spectroelectrochemistry enables stable, localized electrochemical measurements over extended timescales. By coupling impedance spectroscopy, wetting analysis, finite‐element simulations, and operando Raman spectroscopy, it disentangles geometrical and electrochemical effects, opening new opportunities for rapid corrosion ...
Ekaterina Kurchavova, Oumaïma Gharbi, Mireille Turmine, Vincent Vivier   +3 more
wiley   +1 more source

Recent Research Progress on All-Solid-State Mg Batteries

Batteries, 2023
Current Li battery technology employs graphite anode and flammable organic liquid electrolytes. Thus, the current Li battery is always facing the problems of low energy density and safety.
Jayaraman Pandeeswari, Gunamony Jenisha, Kumlachew Zelalem Walle, Masashi Kotobuki   +3 more
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Superharmonic proton motion in high-energy-density organic electrodes for aqueous zinc batteries

Nature Communications
The limited proton transfer kinetics within organic positive electrodes restricts the proton storage capacity and hinders achieving high energy density in aqueous zinc-organic batteries.
Boyu Li, Jiabin Ma, Ke Yang, Yuhang Li, Maggie Ng, Yuetao Ma, Xufei An, Xing Cheng, Jinshuo Mi, Man-Chung Tang, Yan-Bing He, Feiyu Kang   +11 more
doaj   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

Homogeneous polymer-ionic solvate electrolyte with weak dipole-dipole interaction enabling long cycling pouch lithium metal battery

Nature Communications
Solid polymer electrolytes (SPEs) are considered as promising electrolytes for high-voltage lithium metal batteries. Whereas, the strong dipole-dipole interaction in polymer electrolytes limits the enhancement of the ionic conductivity.
Likun Chen, Tian Gu, Jinshuo Mi, Yuhang Li, Ke Yang, Jiabin Ma, Xufei An, Yuyuan Jiang, Danfeng Zhang, Xing Cheng, Shaoke Guo, Zhuo Han, Tingzheng Hou, Yidan Cao, Ming Liu, Wei Lv, Yan-Bing He, Feiyu Kang   +17 more
doaj   +1 more source