Abstract: The Stochastic FDTD (S-FDTD) method provides a way to determine the mean and variance of the electric and magnetic fields in a model where the electrical properties (conductivity and ...

Abstract: Tensor-train (TT) decompositions have the potential to significantly improve the performance of finite-difference time-domain (FDTD) algorithms in terms of CPU time and memory storage. To ...

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K. Tekbaş, J.-P. Bérenger, L. D. Angulo, M. R. Cabello, and S. G. Garcia, "Accelerating Finite-Difference Time-Domain (FDTD) Solvers using Voxels-in-Cell Method," 2024 IEEE International Symposium on ...

This paper describes an innovative methodology to investigate the relationship between device morphology and the optical performance of CMOS image sensors. By coupling a FDTD-based 3D Maxwell solver ...