Resources on SciML
Websites
Videos
- SciML con 2022
- Universal Differential Equations for SciML - Modeling and Computation Seminar, Chris Rackauckas
- JuliaCon 2020 | Doing Scientific Machine Learning (SciML) With Julia
- SciML Overview
- Introduction to Scientific Machine Learning 1: Deep Learning as Function Approximation
- Introduction to Scientific Machine Learning 2: Physics-Informed Neural Networks
- The Julia SciML Ecosystem: Scientific Machine Learning as a Software Problem - Chris Rackauckas
- Julia Introduction to Computational Thinking
SINDy
- Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!
- Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models
- Sparse Nonlinear Dynamics Models with SINDy, Part 3: Effective Coordinates for Parsimonious Models
- Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities
- Sparse Nonlinear Dynamics Models with SINDy, Part 5: The Optimization Algorithms
- SINDy-PI: A robust algorithm for parallel implicit sparse identification of nonlinear dynamics