Py2DFDTD

A Python implementation of two-dimensional, Finite Difference Time Domain (FDTD) simulation of elastic wave propagation in solids. Uses Numba's JIT compiler to accelerate derivative calculations.

Features:

1. User-defined materials
2. User-defined source / emitter functions
3. Multi-Material simulations
4. Arbitary numbers of sources, materials, reflectors
5. Variable simulation area size
6. Variable node size
7. Variable output intervals
8. High performance Numba NJIT support

Usage:

TBD

Requirements:

• FDTDElastic:
  • Numpy
  • Numba
• FDTDElastic Jupyter:
  • Numpy