Results 221 to 230 of about 3,904,649 (388)
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
Fueling Inequity: Geospatial Analyses Reveal Racial Patterns in Vulnerability to Natural Gas Pipeline Impacts in North Carolina. [PDF]
Tschoepe SA +3 more
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
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
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
Research on the Improving Performance of Foam Concrete Applied to the Filling of Natural Gas Pipeline Cross-River Tunnel. [PDF]
Ma X +6 more
europepmc +1 more source
Economic impact of applying high strength steels in hydrogen gas pipelines
James R. Fekete +2 more
openalex +2 more sources
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 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

