Results 231 to 240 of about 146,805 (345)

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

Non-Woven Fabric Thermal-Conductive Triboelectric Nanogenerator via Compositing Zirconium Boride. [PDF]

Polymers (Basel)
Wang X, Liu J, Chen H, Zhou S, Mao D.
europepmc   +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

Cu(II) removal from aqueous solution in trickle tray adsorber using non-woven fabric modified via radiation-assisted functionalization. [PDF]

Sci Rep
Limsuwan Y, Lertsarawut P, Hemvichian K, Seko N, Pongprayoon T.   +4 more
europepmc   +1 more source

Bicomponent Carbon Fibre within Woven Fabric for Protective Clothing. [PDF]

Polymers (Basel), 2020
Kovačević S, Brnada S, Schwarz I, Kiš A.   +3 more
europepmc   +1 more source

Modelling the distortions of skewed woven fabric reinforced composites [PDF]

, 2000
Akkerman, R., Lamers, E.A.D., Wijskamp, S.   +2 more
core   +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

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

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

Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility

Advanced Intelligent Systems, EarlyView.
This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu, Yunjia Zhang, Chu Qiao, Tingrui Zhang, Shuguang Li   +4 more
wiley   +1 more source