Results 241 to 250 of about 70,331 (353)

Development of the Methods of Finishing Non-Woven Fabric With Brass Nanoparticles

, 2022
А. Burkitbay, D. B. Doskalieva
openalex   +2 more sources

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

A comparative analysis of a modified picture frame test for characterization of woven fabrics

, 2009
Abbas S. Milani, J.A. Nemes, Gilbert Lebrun, Martin Bureau   +3 more
openalex   +2 more sources

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Sputtering-Deposited Ultra-Thin Ag-Cu Films on Non-Woven Fabrics for Face Masks with Antimicrobial Function and Breath NO_x Response. [PDF]

Materials (Basel)
Huang X, Hu Q, Li J, Yao W, Wang C, Feng Y, Song W.   +6 more
europepmc   +1 more source

Effect of Weaving Structures on the Water Wicking-Evaporating Behavior of Woven Fabrics. [PDF]

Polymers (Basel), 2020
Lei M, Li Y, Liu Y, Ma Y, Cheng L, Hu Y.
europepmc   +1 more source

Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation

Advanced Intelligent Systems, EarlyView.
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi, Randika K. W. Vithanage, Shaun McKnight, Vedran Tunukovic, Ewan Nicolson, Rylan Gomes, Alastair Poole, Ehsan Mohseni, Stephen Gareth Pierce, Charles MacLoed, Tom O’Hare, Gavin Munro   +11 more
wiley   +1 more source

Optimizing Diagnostic Accuracy of Clinical Red Flags in RASopathies

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS‐mitogen‐activated protein kinase (RAS–MAPK) signaling pathway, often presenting with congenital heart defects, craniofacial dysmorphisms, and developmental delays. To assess the diagnostic yield of genetic testing in patients with suspected RASopathies and to
Emanuele Bobbio, Martina Caiazza, Emanuele Monda, Giustina Aruta, Alberto Budillon, Augusto Esposito, Adelaide Fusco, Annapaola Cirillo, Marta Rubino, Immacolata Viscovo, Gioacchino Scarano, Matteo Della Monica, Vincenzo Nigro, Giulio Piluso, Leandro Pecchia, Maria Giovanna Russo, Giuseppe Limongelli   +16 more
wiley   +1 more source

Effect of Sonication and Nano TiO₂ on Thermophysiological Comfort Properties of Woven Fabrics. [PDF]

ACS Omega, 2020
Noman MT, Petru M.
europepmc   +1 more source