Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

The structures using periodic surfaces (here is frequency selective surface, FSS) can get band-pass characteristics, similar to a classical microwave filter. In this paper, we focus on the sensitivity ...

Learn about four common methods of sensitivity analysis for your business case preparation: one-way, two-way, scenario, and Monte Carlo analysis. Compare their advantages and disadvantages.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, ...

Environmental analysis revealed crude oil pollution, elevated nitrogen levels, and contamination with A. baumannii. TY demonstrated notable salinity adaptability but heightened sensitivity to ...

The sensitivity analysis becomes particularly critical for voltage stability analysis due to the fluctuation in power outputs of renewable energy resources. Besides, impacts of different load modeling ...

Complete warp signature detection workflow transforming curvature analysis into quantum-geometry signatures, synthetic detector data, and sensitivity comparisons for observational validation ...