Results 161 to 170 of about 7,485,527 (252)
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
Reconstruction-Driven Induction Thermography for AI-Assisted Surface Defect Detection in Welded Structures. [PDF]
Zhang X +5 more
europepmc +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
A Lightweight and High-Precision PCB Surface Defect Detection Method Based on YOLOv8. [PDF]
Wang Z, Gao Y, Xiao Y, He Q.
europepmc +1 more source
Near‐surface deuterium enrichment profiles for different microstructural types of TiAl after exposure at 700 °C in a heavy water‐containing environment. The deuterium levels are significantly higher than expected from natural occurrence, indicating that the heavy water dissociated during the exposure treatment and entered the specimens.
Jonathan D. H. Paul +5 more
wiley +1 more source
MCM-YOLO: A Lightweight Conflict Mitigation Network for Industrial Metal Surface Defect Detection. [PDF]
Zhang S, He K, Xu J, Sha H, Chen Z.
europepmc +1 more source
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin +12 more
wiley +1 more source
Active Verification for Missing-Annotation-Aware Tiny Surface Defect Detection in Resistors. [PDF]
Zhang C +6 more
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
YOLOv5 with Channel Attention and Feature Fusion for Wheel Surface Defect Detection. [PDF]
Gao J, Wang Y, Xia X, Zhang Z, Liu F.
europepmc +1 more source

