Results 111 to 120 of about 3,940,120 (250)
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Flexible magnetic tactile sensors hold transformative potential in robotics and human–computer interactions by enabling precise force detection.
Hongfei Hou +10 more
doaj +1 more source
Feasibility and Limitations of the Advanced Replica Process for Bioactive Glasses
Periodic 3D‐printed Kelvin‐cell templates enable a controlled advanced replica process for fabricating highly porous glass lattices. Across P45K9, 45S5, and 13–93, material‐dependent differences in coating, burnout, and shrinkage lead to distinct strut morphologies, while comparable final porosities of 83%–88% are retained.
Swantje Funk +4 more
wiley +1 more source
The ignition issue of the hypersonic aircraft remains a challenging task due to the extremely short residual time of milliseconds. To study the potential candidate of hydrogen peroxide for ignition enhancement, the ignition delay times of pyrolysis gas ...
Jie Zhou +3 more
doaj +1 more source
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
Broadband Dual Frequency Comb Spectroscopy in a Rapid Compression Machine
We demonstrate fiber mode-locked dual frequency comb spectroscopy for broadband, high resolution measurements in a rapid compression machine (RCM). We apply an apodization technique to improve the short-term signal-to-noise-ratio (SNR), which enables ...
Ryan K. Cole (14357742) +7 more
core +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
Research on Mechanical Properties of Concrete at High Temperatures Based on Machine Learning
Structural safety is directly affected by the mechanical properties of concrete at high temperatures. Firstly, based on the existing compression and tension test data of concrete at high temperatures, the Abaqus finite element software was adopted for ...
LIU Junhua +4 more
doaj +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
Stevens High School Lunchroom, 4215 Raider Road, Rapid City, Pennington County
8 x 10 photograph, a large room with many tables and chairsTowns Provo - Rapid City P35 Tab R Poster board Rapid City P35 [stamp] Property of South Dakota State Historical Society Pierre, South Dakota [stamp] Give photo credit to: South Dakota State ...
Rapid City Journal
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