Results 171 to 180 of about 267,177 (347)
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
OPTIMIZATION OF FAULT INDICATORS SETTING FOR OVERHEAD POWER LINES MONITORING
І.В. Блінов +2 more
openalex +2 more sources
Wind-Induced Clearances Infringement of Overhead Power Lines [PDF]
Ali I. El Gayar +2 more
openalex +1 more source
Detection of damage sites on overhead power lines with a voltage of 110 kV or higher
V. N. Kuryanov +4 more
openalex +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Study on Power Line Coupler for Auxiliary Power to Overhead Line
Gunbok Lee +4 more
openaire +1 more source
Climate Exposure Maps and Distributions of Austrian Power Grid Overhead Lines
Claudia Benesch
openalex +1 more source

