Results 151 to 160 of about 2,279,365 (264)

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

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

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun   +6 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

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

Maximizing Active Site Density in Tin Single‐Site Catalysts for Selective Carbon Dioxide to Formate Electroreduction

open access: yesAngewandte Chemie, EarlyView.
High‐loading tin single‐site catalysts (>7.5 wt.% Sn) are synthesized using a nitrogen‐enriched carbon scaffold and mechanochemically assisted pyrolysis to stabilize atomically dispersed Sn. The resulting Sn/N‐C‐M catalyst enables highly selective CO2‐to‐formate conversion (>90% FE across 50–500 mA cm−2) with long‐term durability and operando‐verified ...
Katharina Potemkin   +12 more
wiley   +2 more sources

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

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

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