Name: Nikhil Yewale
Type: User
Company: PhD student at IIT Bombay
Bio: My skills are Math, Fluid Dynamics, Julia programming language, and MATLAB scripting! I may survive C++ too.
Twitter: NikhilYewale93
Location: India
Blog: https://www.linkedin.com/in/nikhilyewale/
Nikhil Yewale's Projects
18.S096 - Applications of Scientific Machine Learning
Applied Mathematics (APPM) Department Colloquium
Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics
MHW Summer School Webinar
Dynamics of beams
Concise and beautiful algorithms written in Julia
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.
Interactive Pluto notebooks for the course of CL-722 (Introduction to Interfacial Waves), Spring 2022-23 Semester
Chemical Reaction Neural Network
Alpha preview of the code for the paper https://arxiv.org/abs/2002.09062
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Code based on a course project (CM501, Advanced Computational Methods for Turbulent Incompressible Flow) at IIT Bombay. Course Instructor : Prof. S. Ravichandran
Generalised-alpha scheme for structural dynamics
A robot powered training repository :robot:
Reduced order modelling techniques for OpenFOAM
Work in progress
A community-maintained Python framework for creating mathematical animations.
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
This repo contains the code for the preprint: Data-driven discovery of multiscale chemical reactions governed by the law of mass action
learning the solution operator for partial differential equations in pure Julia.
MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
Implementation of population balance equation
Probabilistic ODE Solvers via Bayesian Filtering and Smoothing
Catalyst.jl importers for various reaction network file formats.