Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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Updated
Jun 15, 2023 - Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Automatic Finite Difference PDE solving with Julia SciML
A Julia Toolbox for Geophysical Modeling and Inverse Problems
Solving partial differential equations using finite difference methods on Julia.
Code and data for Phase Field Nucleation Benchmark written in Julia language. Repository corresponds to the results in "On the Effect of Nucleation Undercooling on Phase Transformation Kinetics" in IMMI Journal in 2022
A Julia package for discrete approximations of differential operators
1D and 2D Wave simulation from scratch
A general and comprehensive toolkit for generating finite difference formulas, working with Taylor series expansions, and teaching/learning finite difference formulas in Julia
Solving 2D convection diffusion equation using julia multiprocessing
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