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Nikhil Yewale's Projects

18s096sciml icon 18s096sciml

18.S096 - Applications of Scientific Machine Learning

arni icon arni

Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics

catalyst.jl icon catalyst.jl

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

cfd_julia icon cfd_julia

This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.

cl722 icon cl722

Interactive Pluto notebooks for the course of CL-722 (Introduction to Interfacial Waves), Spring 2022-23 Semester

crnn icon crnn

Chemical Reaction Neural Network

crnn_alpha icon crnn_alpha

Alpha preview of the code for the paper https://arxiv.org/abs/2002.09062

datadrivendiffeq.jl icon datadrivendiffeq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

diffeqflux.jl icon diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diffeqoperators.jl icon diffeqoperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

fftsfornavierstokes icon fftsfornavierstokes

Code based on a course project (CM501, Advanced Computational Methods for Turbulent Incompressible Flow) at IIT Bombay. Course Instructor : Prof. S. Ravichandran

ithaca-fv icon ithaca-fv

Reduced order modelling techniques for OpenFOAM

manim icon manim

A community-maintained Python framework for creating mathematical animations.

modelingtoolkit.jl icon modelingtoolkit.jl

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

multiscale-chemical-reaction icon multiscale-chemical-reaction

This repo contains the code for the preprint: Data-driven discovery of multiscale chemical reactions governed by the law of mass action

neuraloperators.jl icon neuraloperators.jl

learning the solution operator for partial differential equations in pure Julia.

pidmd icon pidmd

MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

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