Results 291 to 300 of about 422,572 (333)

Gradient Nanostructures and Machine Learning Synergy for Robust Quantitative Surface‐Enhanced Raman Scattering

open access: yesAdvanced Science, EarlyView.
A novel SERS platform using gradient nanostructures and machine learning is presented. Gradient nanostructures minimize fabrication variability and enhance spectral diversity. The ML model significantly improves quantification precision, robustness and reproducibility, reducing test MSE by 84.8% and increasing R2 by 61.2%, enabling reliable real‐world ...
Xiaoyu Zhao   +13 more
wiley   +1 more source

Abiotic Factors and Plant Communities Shape the Distribution of Soil Pathogenic Oomycetes in Chinese Grasslands

open access: yesAdvanced Science, EarlyView.
The continental‐scale study reveals that soil phosphorus strongly predicts the richness of soil pathogenic oomycetes in Chinese grasslands, while precipitation and plant species richness drive their absolute abundance; modeling predicts ≈42% of grassland areas may face elevated oomycete disease risk under future climate scenarios, especially in typical
Junsheng Ke   +10 more
wiley   +1 more source

Activation of Kir4.1 Channels by 2‐D08 Promotes Myelin Repair in Multiple Sclerosis

open access: yesAdvanced Science, EarlyView.
Multiple sclerosis causes myelin loss and neurological dysfunction. This study shows that 2‐D08, a small molecule targeting Kir4.1 channels, promotes OPCs differentiation via FYN tyrosine kinase phosphorylation and the FYN/MYRF pathway. It significantly improves myelin repair and motor deficits in EAE mice and marmosets, highlighting its potential as a
Mingdong Liu   +17 more
wiley   +1 more source

Cryo‐Exfoliation Synthesis of Borophene and its Application in Wearable Electronics

open access: yesAdvanced Science, EarlyView.
This article introduces a novel cryo‐exfoliation method for synthesizing borophene, utilizing rapid quenching with liquid nitrogen and mild sonication to achieve scalable, high‐purity nanosheets. The study explores advanced characterizations, molecular dynamics simulations, and borophene‐based nanocomposites for wearable electronics, demonstrating its ...
Zhixuan Li   +6 more
wiley   +1 more source

Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning

open access: yesAdvanced Science, EarlyView.
This work explores a machine learning (ML) model with electrochemical impedance spectroscopy (EIS) data to address two critical challenges in Lithium metal batteries (LMBs): capacity degradation trajectory and knee point (KP) estimation, for the first time.
Qianli Si   +4 more
wiley   +1 more source

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