Results 221 to 230 of about 105,183 (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

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

open access: yesAdvanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu   +9 more
wiley   +1 more source

Constraint of Lignin–Carbohydrate Complex Orchestrated on Polyphenol in Oil–Water Interface Targeting Ulcerative Colitis Therapy

open access: yesAdvanced Science, EarlyView.
This study constructed the W1/O/W2 emulsion–based targeted therapy delivery system for ulcerative colitis (UC) utilizing LCC as surfactant for the first time. This multifunctional emulsion offered certain therapeutic advantages for UC, including targeted colonic delivery of active compounds, synergistic modulation of gut microbiota through combined ...
Qian Wu   +9 more
wiley   +1 more source

Microstructure‐Resolved Modeling to Predicting and Regulating Lithium Plating‐Stripping Dynamics on Graphite Electrodes

open access: yesAdvanced Science, EarlyView.
ABSTRACT The lithium plating reaction in graphite electrodes acts as a root cause for the accelerated degradation and the internal short circuits in lithium‐ion batteries. Here, an electrochemical model based on multi‐scale microstructural images was established to identify lithium plating‐stripping processes, thereby supporting the predictive outcomes
Heng Huang   +9 more
wiley   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

open access: yesAdvanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li   +7 more
wiley   +1 more source

Heterogeneous Wettability‐Based Construction of Two‐Phase Interfaces for Underwater Reversible Adhesion

open access: yesAdvanced Science, EarlyView.
The design employs heterogeneous wettability surfaces that construct stable oil‐water interfaces to achieve robust and rapid reversible adhesion. Linear enhancement of adhesion strength is realized through multi‐interface patterning. This adhesive enables rapid on‐demand detachment within five seconds via voltage‐induced electrolysis, offering a level ...
Xiaokai Li   +11 more
wiley   +1 more source

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