Results 221 to 230 of about 1,101,657 (315)

Toward Sustainable Separation and Recovery of Critical Metals From Discarded Industrial Perovskite Solar Modules

open access: yesAdvanced Science, EarlyView.
An architecture‐guided recycling process enables selective metal recovery from end‐of‐life perovskite solar modules by exploiting interfacial accessibility and calcination‐induced phase transformation. The process achieves >99.8% Pb removal, >99.7% In recovery, and >96.1% Cu recovery, while selectively retaining Sn in leaching residue.
Guang Hu   +13 more
wiley   +1 more source

Mechanical Distraction Engages a Neuro‐Immune Program to Drive Regenerative Soft‐Tissue Healing in Ilizarov Bone Transport

open access: yesAdvanced Science, EarlyView.
Ilizarov bone transport accelerates healing of soft‐tissue wounds through unclear mechanisms. In a rat model, sustained mechanical distraction elicits calcitonin gene‐related peptide (CGRP)‐dominant sensory reinnervation, creating a niche that shifts immune cells from inflammatory to repair‐promoting states and speeds re‐epithelialization.
Yueliang Zhu   +9 more
wiley   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

open access: yesAdvanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu   +11 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam   +3 more
wiley   +1 more source

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