Results 111 to 120 of about 29,528 (258)

Cu2O/Cu Chiral Catalysts for Highly Selective Solar‐Assisted CO2‐to‐CO Electroreduction

Advanced Functional Materials, EarlyView.
To address the poor target‐product selectivity of the eCO2RR, breakthrough approaches based on the chiral‐induced spin selectivity phenomenon enhance the Faradaic efficiency (FE) for target hydrocarbons, such as CO. To induce this spin polarization strategy in Cu2O/Cu catalysts, it is proposed using amine‐based intermediate organic molecules with ...
Hyungsoo Lee, Young Sun Park, Eunji Kwon, Chang‐Seop Jeong, Juwon Yun, Subin Moon, Soobin Lee, Jun Hwan Kim, Donghyun Kim, Wooyong Jeong, Jaehyun Son, Jihwon Park, Seungho Yu, Jooho Moon   +13 more
wiley   +1 more source

Quasi‐Periodic Surface Functionalization by Ultra‐Short Pulsed Laser Processing: Unlocking Superior Heat Transfer in Vapor Chambers

Advanced Functional Materials, EarlyView.
Ultra‐short pulsed laser processing (ULSP) enables scalable, open‐air fabrication of self‐organized, quasi‐periodic micro/nanostructures on copper using 100 µm laser beams, orders of magnitude larger than the resulting surface features. Integrated into ultra‐thin, wick‐free vapor chambers, these laser‐functionalized surfaces dramatically enhance ...
Anish Pal, Arani Mukhopadhyay, Graham Kaufman, Suchit Sarin, Jeffrey E. Shield, George Gogos, Craig Zuhlke, Constantine M. Megaridis   +7 more
wiley   +1 more source

Sharp upper bounds on the distance spectral radius of a graph

, 2013
Ying-Ying Chen, Huiqiu Lin, Jinlong Shu
openalex   +1 more source

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

Advanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue, Chao Li, Yong Gao, Zhenglong Li, Wen‐Gang Cui, Xinqiang Wang, Guoquan Na, Xiaowei Wang, Yiyang Wan, Mingchang Zhang, Yanxia Liu, Fulai Qi, Chenchen Li, Xu Xue, Jian Miao, Jing Zhang, Xiao Han, Pan Wang, Chang Guo, Xiacui Liu, Mingxia Gao, Wenping Sun, Jian Chen, Zhenhai Xia, Hongge Pan   +24 more
wiley   +1 more source

Probing the Extended Atmospheres of AGB Stars. I. Synthetic Imaging of 1D Hydrodynamical Models at Radio and (Sub-)millimeter Wavelengths

The Astrophysical Journal
We investigate the observable characteristics of the extended atmospheres of asymptotic giant branch (AGB) stars across a wide range of radio and (sub-)millimeter wavelengths using state-of-the-art 1D dynamical atmosphere and wind models over one ...
Behzad Bojnordi Arbab, Wouter Vlemmings, Theo Khouri, Susanne Höfner   +3 more
doaj   +1 more source

Sharp bounds on distance spectral radius of graphs [PDF]

, 2012
Huiqiu Lin, Jinlong Shu
openalex   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

UOCS XIV: Study of the Open Cluster NGC 2627 Using UVIT/AstroSat

The Astronomical Journal
We study the intermediate-age open cluster NGC 2627, located at a distance of ∼2 kpc, using UVIT/AstroSat and other archival data. Using a machine learning-based algorithm, ML-MOC, on the Gaia DR3 data, we identify 422 cluster members, including four ...
Pinapati Saketh, Anju Panthi, Kaushar Vaidya   +2 more
doaj   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

On the distance spectral radius, fractional matching and factors of graphs with given minimum degree [PDF]

, 2023
Xu, Zengzhao, Xi Weige
openalex   +1 more source