Results 21 to 30 of about 18,789,167 (257)
Predicting Reactivity and Passivation of Solid-State Battery Interfaces. [PDF]
In this work, we build a computationally inexpensive, data-driven model that utilizes only atomistic structure information to predict the reactivity of interfaces between any candidate solid-state electrolyte material and a Li metal anode.
Lomeli EG +7 more
europepmc +4 more sources
Stage‐Specific Patterns of Imaging and Non‐Motor Biomarkers in Spinocerebellar Ataxia Type 3
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 +17 more
wiley +1 more source
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
An all-solid-state lithium secondary battery (1) comprising: an oxide solid electrolyte layer (11) including oxide solid electrolyte particles (11a) having lithium ion conductivity; a positive electrode active material layer (13) arranged on one surface ...
Jiaxiang Piao (13434111) +2 more
core
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
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
High‐Resolution Corrosion Fingerprinting of Alloy Libraries via Microdroplet Spectroelectrochemistry
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 +3 more
wiley +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
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
Simulating Solid-State Battery Cathode Manufacturing via Wet-Processing with Resolved Active Material Geometries [PDF]
Prior to the development of a solid-state battery cell, researchers have limited knowledge about the microstructure of the electrodes and how they are affected by manufacturing.
Dennis, Weitze +3 more
core +1 more source
Solid-State Polymer Electrolytes for Sodium Ion Battery Technology
This study addressed the gaps in electrolyte materials in sodium-ion battery systems by introducing three different solid-state polymer electrolytes based on organic ionic plastic crystals, ionic block copolymers and mixed co-cations.
Sneha Subhas Malunavar (16752258)
core +1 more source

