Results 171 to 180 of about 389,267 (294)

Multiscale Modelling of the Electrocatalysis of Microenzymes: Insights Into the Performance of Microperoxidase at an Aqueous/Graphene Interface and Their Exploitation to Improve Performance

open access: yesAdvanced Science, EarlyView.
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic   +6 more
wiley   +1 more source

Modified MXene Aerogel With Broadband Microwave Absorption Inspired by Melanophila Acuminata Beetle

open access: yesAdvanced Science, EarlyView.
This work introduces a novel biomimetic strategy inspired by the infrared‐sensing sensilla of the Melanophila acuminata beetle. We have designed a multi‐level aerogel, featuring a three‐dimensional carbon framework decorated with synergistic CeO2 nanoparticles and Ti3C2Tx MXene nanosheets.
Zhiwei Liu   +6 more
wiley   +1 more source

A Disulfide‐Sticker Strategy for Marine Adhesive Coatings: From Deciphering Self‐Assembly Mechanism to Functional Application in Hair Regeneration

open access: yesAdvanced Science, EarlyView.
A disulfide‐sticker strategy, coupled with Ca2+ coordination, drives the hierarchical self‐assembly of a recombinant scallop adhesive protein into fishnet‐like nanostructures, affording a coating with versatile wet adhesion and intrinsic antioxidant activity. This biocompatible coating markedly promotes hair regeneration by activating follicular niches,
Lulu Wang   +7 more
wiley   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

open access: yesAdvanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun   +9 more
wiley   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

open access: yesAdvanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen   +12 more
wiley   +1 more source

Ion Superhighways in a Hierarchical Polymer‐Ceramic Membrane Enable Rapid and Selective Lithium Extraction

open access: yesAdvanced Science, EarlyView.
A flexible PDMS‐LATP polymer‐ceramic membrane creates lithium‐ion “superhighways” for rapid and selective extraction from complex brines. The amorphous PDMS matrix suppresses nonselective leakage and stabilizes the ceramic network, while LATP provides preferential Li+ conduction.
Xinxin Wei   +12 more
wiley   +1 more source

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