Results 131 to 140 of about 867,681 (297)

Monitoring the Microwave Synthesis of d0‐Free Disordered Rocksalt Cathodes Using In Situ Infrared Pyrometry

open access: yesAngewandte Chemie, EarlyView.
Despite its promise for producing metastable materials, the mechanisms underlying solid‐state microwave synthesis remain poorly understood. By combining in situ thermography with x‐ray diffraction and solid‐state NMR, this study uncovers a surprising order–disorder–order reaction pathway during the microwave synthesis of the Li1.1Mn0.9O1.9F0.1${\rm Li ...
Erick A. Lawrence   +8 more
wiley   +2 more sources

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

Reinforcing Particle Architectural Stability of Li‐Rich Cathode With Enhanced Anionic Redox Reaction Reversibility

open access: yesAngewandte Chemie, EarlyView.
In this work, we establish a direct correlation between internal compactness and particle architectural stability, identifying it as a key descriptor of cathode structural integrity. Simultaneously, the capacity contribution and compensation mechanism of ARR are resolved, revealing that the extent of irreversible capacity loss is governed by both the ...
Yizhen Huang   +24 more
wiley   +2 more sources

Neutron phase filtering for separating phase- and attenuation signal in aluminium and anodic aluminium oxide

open access: yesScientific Reports
Neutron imaging has gained significant importance as a material characterisation technique and is particularly useful to visualise hydrogenous materials in objects opaque to other radiations.
Estrid Buhl Naver   +6 more
doaj   +1 more source

Hybrid Ionomer‐Free Porous Transport Electrodes With Catalyst Coated Membranes for Enhanced Water Electrolysis

open access: yesAdvanced Energy Materials, EarlyView.
We demonstrate how improved electrochemical performance during water electrolysis is achieved when a porous transport electrode (PTE) is coupled with a traditional catalyst coated membrane (CCM). Using operando neutron radiography, a more homogenous water distribution near the catalyst layer‐membrane interface is revealed in PTE‐based designs due to ...
Tess Seip   +8 more
wiley   +1 more source

Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective

open access: yesAngewandte Chemie, EarlyView.
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie   +11 more
wiley   +2 more sources

Integrated edge-to-exascale workflow for real-time steering in neutron scattering experiments

open access: yesStructural Dynamics
We introduce a computational framework that integrates artificial intelligence (AI), machine learning, and high-performance computing to enable real-time steering of neutron scattering experiments using an edge-to-exascale workflow.
Junqi Yin   +12 more
doaj   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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