Results 151 to 160 of about 1,278,526 (294)

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

Graphene-Enriched Acrylic Paint to Protect Unheated and Heat-Treated Wood Species Against <i>Coniophora puteana</i>. [PDF]

open access: yesPolymers (Basel)
Taghiyari HR   +7 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

Cell-Wall-Engineered Wood Enabling Metal-and-Adhesive-Free Cross-Laminated Timber. [PDF]

open access: yesResearch (Wash D C)
Zhang S   +10 more
europepmc   +1 more source

Self‐Assembly of Antigenic Peptide Nanofibrils Templates the Growth of Silica Nanoparticles for Nanovaccines

open access: yesAdvanced Science, EarlyView.
Antigenic peptides Aβ42 and E7 self‐assemble into nanofibrils; APTES and TEOS induce SiO2 NP formation on these fibrils to form SiO2@fibril nanovaccines, which activate BMDCs in vitro. In vivo, SiO2@Aβ42 fibril nanovaccines alleviate AD symptoms and clear Aβ42 plaques in APP/PS1 mice, and SiO2@E7 fibril nanovaccines inhibit tumor growth and promote ...
Xuecheng Yang   +6 more
wiley   +1 more source

Machine Learning–Guided Surface Strain Engineering in Connected Platinum–Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance

open access: yesAdvanced Science, EarlyView.
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer   +4 more
wiley   +1 more source

A Sustainable Bio‐Based Epoxy Thermoset as a High‐Performance Alternative to BPA‐Based Resins

open access: yesAdvanced Science, EarlyView.
A rigid–flexible bio‐based epoxy network integrates soybean oil, lignin, and maleic anhydride to overcome the strength–toughness–sustainability trade‐off of conventional BPA epoxy. The thermoset delivers excellent performance as both a structural adhesive and a matrix for glass‐fabric composites, while enabling pH‐responsive degradation, environmental ...
Jiyun Qi   +4 more
wiley   +1 more source

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