Results 201 to 210 of about 1,072,644 (295)

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

A Prototype Distributed Six-Port Reflectometer-Based Transmission-Only Vector Network Analyzer. [PDF]

Sensors (Basel)
Hashir M, Gilmore C, LoVetri J.
europepmc   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 more
wiley   +1 more source

Target-Aware Decoupled Metric-Depth Estimation for Top-View Crane Safety Surveillance. [PDF]

Sensors (Basel)
Woo MW, Kim J, Kim BH.
europepmc   +1 more source

Rapid Microwave Plasma Engineering of HfO2/C@C Core‐Shell Fibrous Membrane Toward Flexible High‐Performance Electromagnetic Wave Absorption

Advanced Functional Materials, EarlyView.
Rapid microwave plasma torch engineering tunes crystal phases, carbon graphitization and oxygen‐vacancy defects in HfO2/C@C core‐shell fibrous membranes. Synergistic multi‐loss effects optimize impedance matching to deliver −65.75 dB reflection loss and a 7.37 GHz effective bandwidth for flexible electromagnetic wave absorption.
Qichao Ding, Limeng Song, Wei Li, Jiangtao Hao, Xuewen Jiang, Mengru Li, Xinglai Yuan, Gang Wang, Yanqiu Zhu, Mi Tian, Hailong Wang, Hongxia Li, Biao Zhao, Rui Zhang, Bingbing Fan   +14 more
wiley   +1 more source

Spatially-Aware Reliability Modeling for BEV LiDAR 3D Vehicle Detection. [PDF]

Sensors (Basel)
Hu N, Zhang Z, Wu D, Dadashova B, Winata F, Filippi AM.   +5 more
europepmc   +1 more source

Self‐Assembled Crystalline Peptoid Nanomaterials as Metal‐Free Enzyme Mimics for Enhanced Carbon Dioxide Hydration and Precipitation

Advanced Functional Materials, EarlyView.
Inspired by metal‐free carbonic anhydrases (CAs) that achieve efficient catalysis without metal cofactors, we herein report a sequence‐defined supramolecular peptoid platform that mimics metal‐free CAs and exhibits hydrolytic activity via a supramolecular assembly‐mediated proton‐transfer mechanism.
Progyateg Chakma, Ying Chen, Thi Kim Hoang Trinh, Anthony R. Perez, Jonathan Gil, Maria Casco Hidalgo, Botao Hao, Kyle Whitaker, Chun‐Long Chen   +8 more
wiley   +1 more source

Gain correction for variable imaging geometry. [PDF]

Med Phys
Weiss N, Ezair B.
europepmc   +1 more source

Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

Advanced Functional Materials, EarlyView.
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Pham Anh Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou   +7 more
wiley   +1 more source