Results 171 to 180 of about 275,172 (274)
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
Consideration of Major Accidents and Disasters in Environmental Impact Assessment Reports for Natural Gas Pipeline Projects in Poland. [PDF]
Markiewicz MT.
europepmc +1 more source
Study on Self-Leveling of Foamed Concrete for Long-Distance-Tunnel-Gas-Pipeline Backfill. [PDF]
Li C +9 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Effect of microstructure on hydrogen permeation and trapping in natural gas pipeline steels. [PDF]
Islam A +5 more
europepmc +1 more source
A Semi Empirical Regression Model for Critical Dent Depth of Externally Corroded X65 Gas Pipeline. [PDF]
Yang Y +7 more
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Numerical Simulation of Hydrogen Mixing Process in T-Junction Natural Gas Pipeline. [PDF]
Tian Y, Tian T, Ren G, Zhang J.
europepmc +1 more source
Identification of the Fracture Process in Gas Pipeline Steel Based on the Analysis of AE Signals. [PDF]
Świt G +3 more
europepmc +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source

