Results 11 to 20 of about 38,071 (216)

Solid state battery, what’s next?

open access: yesNext Energy, 2023
Solid state battery (SSB) has become the most attractive and promising technology in the world. SSB should have superior electrochemical performances and safety than commercial nonaqueous lithium ion batteries and has comparable cost. High speed and high
Hong Li
doaj   +1 more source

Ultra-Thin Li Metal Anode for All-Solid-State Batteries

open access: yesElectrochemistry
All-solid-state lithium metal batteries are considered next-generation lithium-ion batteries that surpass the limits of conventional lithium-ion batteries owing to their ability to simultaneously reduce the risk of flammability and achieve high energy ...
Kuniharu NOMOTO   +5 more
doaj   +1 more source

Mechanically robust halide electrolytes for high-performance all-solid-state batteries

open access: yesNature Communications
All-solid-state batteries frequently encounter mechanical instability due to the inherent brittleness and low elasticity of inorganic ceramic electrolytes, such as sulfides, oxides, and halides.
Xu Han   +18 more
doaj   +1 more source

Recent Research Progress on All-Solid-State Mg Batteries

open access: yesBatteries, 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   +3 more
doaj   +1 more source

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao   +7 more
wiley   +1 more source

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe   +7 more
wiley   +1 more source

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

open access: yesNature 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   +10 more
doaj   +1 more source

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

open access: yesElectrochemistry
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   +7 more
doaj   +1 more source

Recycling of NiTi Shape Memory Alloys: Fundamental and Technological Aspects of a Vacuum Induction Melting Processing Route

open access: yesAdvanced Engineering Materials, EarlyView.
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee   +7 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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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