Results 131 to 140 of about 1,931 (166)

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Competing Charge Separation Pathways Govern Charge Generation in Organic Photovoltaic Blends: Insights From Transient Electron Spin Resonance

open access: yesAdvanced Energy Materials, EarlyView.
Transient electron spin resonance distinguishes interfacial charge‐transfer states from separated charges, revealing competing charge separation pathways in organic photovoltaic blends. The relative contributions of fast charge separation and a pathway mediated by spin‐polarized charge‐transfer states vary across different blends, with high‐efficiency ...
Jack M. S. Palmer, Claudia E. Tait
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
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

Animal stroke models and outcome evaluation: A review

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Rodents are the preeminent stroke model species. Large animal models exist too, but are poorly standardized. Ischemic and hemorrhagic experimental models are available, with the intraluminal filament model being predominant. Outcomes are evaluated via quantifying subjects' sensorimotor impairment, cognitive memory faculties, degree of cellular ...
Solsa Cariba   +2 more
wiley   +1 more source

Scaffold‐Free Living Cellular Structure With Omnidirectional Architectures

open access: yesAdvanced NanoBiomed Research, EarlyView.
Hydrogel lumen confinement enables the direct formation of mechanically stable, scaffold‐free cellular filaments under entirely aqueous, phototoxicity‐free conditions. These processable living building blocks support omnidirectional assembly into complex three‐dimensional architectures, providing a simple and versatile platform for scaffold‐free ...
Jing Ma   +7 more
wiley   +1 more source

In Vivo Nb4C3Tx MXene‐Assisted Photothermal Therapy of Melanoma in Mice

open access: yesAdvanced NanoBiomed Research, EarlyView.
Nb4C3Tx MXene converts pulsed 1064 nm irradiation into localized heat, producing concentration‐ and time‐dependent melanoma cell killing in vitro and suppressing tumor growth in mice. Histology reveals extensive tumor damage, macrophage‐associated material clearance, and no detectable persistent deposits in examined visceral organs, supporting Nb4C3Tx ...
Anton Roshchupkin   +22 more
wiley   +1 more source

Covalent Immobilisation of PVA‐MA Hydrogels on Plasma‐Activated Coatings: Achieving Superior Adhesion by Reagent‐Free Formation of a Nanoscale Primer Layer

open access: yesAdvanced NanoBiomed Research, EarlyView.
Robust attachment of hydrogels to solid substrates is critical to success in cell culture where hydrostatic and contractile forces can contribute to delamination of weakly adhered gels. This novel approach forms a nanometer‐scale, reagent‐free hydrogel primer layer to provide improved resistance to delamination of subsequent bulk hydrogel layers in a ...
Sophia C. Franklin   +7 more
wiley   +1 more source

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