Results 171 to 180 of about 715,331 (285)

SDS‐CRISPR for Single‐Nucleotide Variant Detection

open access: yesAdvanced Science, EarlyView.
Structure‐disruption‐sensitive CRISPR (SDS‐CRISPR) converts structural instability into single‐nucleotide precision, thereby overcoming mismatch tolerance in canonical Cas12a and enabling versatile diagnostics across DNA, RNA, and microRNA targets. When applied to rapid IDH1 mutation detection for glioma genotyping and integrated with lateral‐flow ...
Xin Guan   +12 more
wiley   +1 more source

The Polymers of Life: Exploring Cellular Function Through Polymer Concepts

open access: yesAdvanced Science, EarlyView.
Biomolecular phase separation reveals that a hidden layer of cellular organization is governed by the principles of polymer science. This review bridges polymer physics and cell biology, offering a primer on fundamental concepts, proposing a framework for interrogating cellular function, and synthesizing biophysical methods for decoding macromolecular ...
Mark Chen, Ashutosh Chilkoti
wiley   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni   +10 more
wiley   +1 more source

Interfacial Polysulfide Confinement via Spatially Controlled Sulfonated Metal–Organic Polyhedra Coatings in Lithium–Sulfur Batteries

open access: yesAdvanced Science, EarlyView.
Spatially controlled sulfonated metal–organic polyhedra (SMOP) coating on sulfur‐loaded hollow carbon spheres form ultrathin, conformal interfacial barriers that selectively confine soluble polysulfides, stabilize sulfur redox, and suppress shuttle reactions.
Soyeon Ko   +8 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy