Results 181 to 190 of about 9,385,834 (281)
Neutron star oscillations from starquakes
, 2014 Glitches are sudden increases in the otherwise extremely regular spin rate of pulsars. One theory proposed to account for these glitches is the starquake model, in which the spinup is caused by a sudden rearrangement of the neutron star crust. Starquakes
Keer, Lucy
core +1 more source
HLMiller-Imaging/SlowMembraneDiffusionAnalysis: Version 1
<h2>What's Changed</h2> <ul> <li>Addcode by @HLMiller-Imaging in https://github.com/HLMiller-Imaging/SlowMembraneDiffusionAnalysis/pull/1</li> <li>TrajectoryBugFix by @HLMiller-Imaging in https://github.com/HLMiller ...
HLMiller-Imaging
core +1 more source
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Advanced 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
Advanced Energy Materials, EarlyView.Direct seawater electrolysis using anion exchange membranes is emerging as a promising route for sustainable hydrogen production. This review summarizes multiscale design strategies from seawater chemistry and OER–ClER selectivity to catalysts, membranes, MEAs, cells, stacks, and system integration, providing a roadmap toward selective, durable, and ...
Chiho Kim +7 more
wiley +1 more source
Angewandte 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
Advanced 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
Anchored Oxygen‐Release‐Suppression Phase Stabilizing High‐Voltage Ni‐Rich Cathode Materials
Angewandte Chemie, EarlyView.A one‐step dual‐structure strategy was proposed to synthesize LiNi0.9Co0.05Mn0.05O2 (DA‐NCM) material, which is rich in oxygen vacancies and coated with a perovskite‐type La4LiNiO8 layer stabilized by La─O anchoring provided by La2Mo2O9. This strategy effectively suppressed structural degradation and oxygen release, thereby achieving stable high ...
Ziqi Liu +8 more
wiley +2 more sources
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced 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
Advanced 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
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced 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