Results 211 to 220 of about 114,879 (289)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

PEC‐DFM Hybrid‐Sensor Based on Nanoparticle‐Resolved Estimation for Sensitive and Reversible Glucose Monitoring

open access: yesAdvanced Science, EarlyView.
Abstract The accurate detection of glucose in wound exudate is critically important for monitoring chronic wound healing. While photoelectrochemical (PEC) sensors are widely used, they often suffer from material degradation caused by redox reactions during operation. Herein, we introduce a dark‐field microscopy (DFM) setup integrated with a PEC system,
Zihao Zhang   +7 more
wiley   +1 more source

CRISPR/Cas13a: Compensatory Target Activation Mechanism

open access: yesAdvanced Science, EarlyView.
CRISPR/Cas13a‐CTAM as a novel compensatory target activation mechanism that enables synergistic activation of Cas13a via two independently editable short RNA effectors. This dual‐effector system maintains enzymatic activity comparable to traditional single‐effector while significantly enhancing flexibility, sensitivity, and application scope.
Bowen Jiang   +8 more
wiley   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

open access: yesAdvanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li   +7 more
wiley   +1 more source

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