John W. Nehrbass obtained his Ph.D. in electrical engineering from The Ohio State University in 1996, M.S. in electrical engineering from Arizona State University in 1991 and B.S. in electrical ...

Model folder contains ONE models for solving different PDEs: (1) FNO_DONN_2d_v4_1_layer_32_channel_fresnel.py for Darcy flow equation. (2) FNO_DONN_2d_v4_1_layer_32_channel_fresnel_mag_gelu.py for ...

Continuing our exploration of meshing with Gmsh, this lesson focuses on mesh refinement and advanced techniques to create high-quality meshes for your FDTD simulations. While a coarse mesh might be ...

I learned some MATLAB in university in 2006-2007 which I enjoyed using to solve engineering problems. When I first joined #MottMacDonald (MM) I asked if I could have a MATLAB license since it was what ...

In the recent decade, computational tools have become central in material design, allowing rapid development cycles at reduced costs. Machine learning tools are especially on the rise in photonics.

Neural Inverse Design of Nanostructures (NIDN) is a Python project by the Advanced Concepts Team of ESA. The goal of the project is to enable inverse design of stacks of nanostructures, metamaterials, ...

Infrasound data are routinely used to detect and locate volcanic and other explosions, using both arrays and single sensor networks. However, at local distances (<15 km) topography often complicates ...

Various potential material structures to meet the criteria of passive radiative cooling are selected. The arrangements of the structure are the inline and staggered distribution of nanoparticle and ...