Results 21 to 30 of about 31,305 (267)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Range expansion of the golden jackal (Canis aureus) in Europe

Theriologia Ukrainica
The golden jackal (Canis aureus) is undergoing one of the most rapid and extensive range expansions of any terrestrial carnivore in modern Europe, prompting an urgent need to understand its primary drivers.
Volodymyr Tytar
doaj   +1 more source

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

Advanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu, Yucun Zhou, Haoyu Li, Zheyu Luo, Nai Shi, Yong Ding, Weining Wang, Weilin Zhang, Doyeub Kim, Chanho Kim, Yoojin Ahn, Nikhil Govindarajan, Minda Zou, Zhijun Liu, Yuefeng Song, Meilin Liu   +15 more
wiley   +1 more source

Hardenability prediction model of 8620 steel based on machine learning

工程科学学报
8620 steel is a critical alloy widely used in the manufacturing of gears designed to transmit substantial power and endure heavy loads. Its applications span vital sectors, including transportation, lifting equipment, locomotive traction, and wind power ...
Binbin WANG, Dexin ZHU, Sen WU, Fuyong LI, Shengyong HUANG, Honghui WU   +5 more
doaj   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Exploring the effects of urban morphology and its spatial heterogeneity on LST: a quantitative analysis of seasonal and diurnal variations

Journal of Asian Architecture and Building Engineering
This study employs statistical analysis to examine the impact of urban morphology on land surface temperature (LST). The findings reveal notable differences in LST across various Local Climate Zone (LCZ) types.
Yarui Wu, Rui Li, Tian Hu, Meijiali Wang
doaj   +1 more source

Machine learning based diagnosis and staging of primary open angle glaucoma using lamina cribrosa parameters

Delta Journal of Ophthalmology
Purpose The aim of this study was to build and internally validate a machine learning (ML) model that can discriminate between normal individuals and patients with different glaucoma stages using the lamina cribrosa (LC) structural parameters.
Ahmed A. Elbasty, Tarek R. Hussein, Ahmed F. Elmaria   +2 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced 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, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Mechanisms and SHAP Analysis of Anaerobic Co-Digestion of Sewage Sludge and Food Waste Under Chloroquine Phosphate Stress

能源环境保护
This study systematically investigated the effects of concentration gradients (0 – 25 mg/L) of the active pharmaceutical ingredient chloroquine phosphate (CQ) on anaerobic digestion performance and microbial response mechanisms, with a focus on its ...
Shuting ZHANG, Zijun DAI, Xueqin LU, Weijie HU, Chengyuan WANG, Youfei ZHOU, Guihua ZHUO, Yuanfeng CHEN, Shihong GUO, Guangyin ZHEN   +9 more
doaj   +1 more source

Analysis of Financing Capability for Green Performance Based on SHAP Model

International Journal of Gaming and Computer-Mediated Simulations
In green finance, green performance should be an important indicator that affects corporate financing, but, in practice, financial performance has always been the key to corporate financing. This paper compares the impact of green and financial performance on corporate financing constraints based on data from Chinese listed companies from 2013 to 2022.
Benyan Tan, Zhou Xu
openaire   +1 more source