Developed a CUDA version of the FDTD method and achieved a speedup 40x. Implemented on a NVIDIA Quadro FX 3800 GPU, which has 192 SPs, 1GB global memory, and a memory bandwidth of 51.2 GB/s.

This repository provides a Python-based framework for computing approximations of gradients, Hessians, and experimental third-order derivatives, with additional MATLAB implementations. The main ...

Abstract: This letter proposes a generalized and controllable-stability conformal method to address stability challenges inherent in conformal finite-difference time-domain algorithms. A quantitative ...

Abstract: This paper presents a finite difference method for the design of gradient coil in MRI. In this method, a linear matrix equation is formulated using a finite-difference approximation of the ...

This repository contains the code base for the FEniCSx finite-element implementation of the large deformation theory we developed for electro-magneto-elasticity in the eddy current approximation. This ...