This is a Hydrology project.In this project I solved nonlinear partial differential equation which represents movement of water in unsaturated soils.
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Updated
Sep 1, 2023 - Jupyter Notebook
This is a Hydrology project.In this project I solved nonlinear partial differential equation which represents movement of water in unsaturated soils.
Dirac operators for lattice QCD with Julia
Solving Universal Differential Equations in Julia
Manifold Learning for Scientific Applications with SciML Interface.
SciML for acoustics problem
Solving multiphysics inverse problems with Scientific (physics-informed) Machine Learning
A collection of chaotic ODEs.
Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
A high-performance library for gradient based quantum optimal control
Fortran engine to couple neural network based Mie emulator, called MieAI, with ICON-ART.
Lorenz 63 Attractor, Kortweg - De Vries and Burgers equations, and wave stuff.
Code Listings models of The Years of the Switch and the Dream of The Singularity 2020 CE
Optimal experimental design of ODE and DAE systems in julia
Painting the phase portrait of random and deterministic systems
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
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