Results 111 to 120 of about 222,334 (272)

Surface‐Functionalized MXene for Enhanced Photocatalytic CO2 Reduction

Advanced Energy Materials, EarlyView.
Poly(catechol/p‐cresol)‐functionalized MXene (f‐MXene) enhances oxidation stability while preserving conductivity, enabling efficient interfacial electron transfer in a Cu/f‐MXene/reduced TiO2 photocatalyst. Strong Cu–f‐MXene synergy promotes CO2 activation and selective CH4 production, achieving a CH4 yield of 18.1 µmol g−1 (>200 × vs.
Dongyun Kim, Young Ho Park, Dong Gyu Lee, Kyuseok Lee, Junho Lee, Chaelin Shin, Jaeyoung Kim, B. Yamunasree, Soomin Han, Eunhee Gong, Hyeonjong Jeong, Min Gyu Kim, Chang‐Hee Cho, Seung Jun Lee, Soorathep Kheawhom, G. Murali, Tae Kyung Lee, Insik In, Su‐Il In   +18 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Dual elemental doping activated signaling pathway of angiogenesis and defective heterojunction engineering for effective therapy of MRSA-infected wounds

Bioactive Materials
Multi-drug resistant bacterial infections pose a significant threat to human health. Thus, the development of effective bactericidal strategies is a pressing concern.
Jin Huang, Shuilin Wu, Yi Wang, Jie Shen, Chaofeng Wang, Yufeng Zheng, Paul K. Chu, Xiangmei Liu   +7 more
doaj   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Structural and optical analysis of GaN and InxGa1-xN photodetectors fabricated by PEALD on silicon

Results in Engineering
The optical, structural, morphological and chemical properties of Gallium nitride (GaN) and Indium Gallium nitride (InxGa1-xN) thin films grown on Si (100) by plasma-assisted atomic layer deposition (PEALD) technique at a temperature of 300°C.
D. Tepatzi-Xahuentitla, D. Cortes-Salinas, D.A. Granada-Ramírez, Y. Panecatl Bernal, M. Pérez-González, S.A. Tomás, A.A. Durán-Ledezma, Salvador Alcantara-Iniesta, M.L. Gómez-Herrera, J.G. Mendoza-Alvarez, J. Alvarado   +10 more
doaj   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Design and Performance of a High‐Efficiency Inhibitor: Synergistic Effect of Modified Chitosan and Boron Nitride Nanosheets on Steel Protection

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Metal corrosion causes significant economic losses and safety hazards, underscoring the urgent need for effective, environmentally friendly corrosion inhibitors. In this study, an organic–inorganic composite inhibitor, chitosan–glucose–BN (CS–GL–BN) was developed to protect Q235 mild steel in a 3.5‐wt% NaCl solution.
Shanjun Xu, Bing Xia, Penghang Yan, Deqing Kong, Dong Li   +4 more
wiley   +1 more source

Design and Performance of Property Gradient Ternary Nitride Coating Based on Process Control. [PDF]

Materials (Basel), 2018
Yan P, Chen K, Wang Y, Zhou H, Peng Z, Jiao L, Wang X.   +6 more
europepmc   +1 more source

Crystallization dynamics of thin film ternary nitrides

Structural Dynamics
Nitrides are attractive for a wide range of applications, including semiconductors, light emitters, coatings, ceramics, and ferroelectrics. Recent calculations show that there are many stable and metastable ternary nitrides that have yet to be reported due to challenges in their synthesis.
openaire   +1 more source