This is a compilation of notes and solutions to problem sheets for some of the physics lectures I took, most of them in Heidelberg, Germany. Hopefully, they can be useful to others. If you find errors, please open an issue.
Janosh
I'm interested in computational materials discovery, machine learning, software engineering & data viz.
Check out my latest workmatbench-discovery.materialsproject.org [arXiv]
A new framework to evaluate ML energy models on materials stability prediction from unrelaxed crystals
Notes on Physics
Posts
No Non-sense Copy Buttons in SvelteKit
SvelteKit, Web Development, User Experience, Coding Compile VASP on M1 Mac
Guide, Fortran, DFT, Materials Science Geometric Bayes Theorem
interactive, Bayes theorem, educational, probability, statistics Normalizing Flows
Science, Machine Learning, Statistics Git Spellchecker
Tutorial, Technology Training BNNs with HMC
Python, Machine Learning, Statistics, Science Gatsby Interactive Plots
JS, Tutorial, Web Dev, Science useDarkMode
JS, Tutorial, Web Dev useQueryParam
JS, Tutorial, Web Dev Sticky Active Smooth Responsive ToC
Design, JS, Tutorial, Web Dev Hamiltonian Monte Carlo - A Conceptual Introduction
Physics, Statistics, Science Conda Auto Env
Tutorial, Python JS media queries with React hooks
Web Dev, Tutorial, JS Exclude drafts from production in Gatsby
Web Dev, Tutorial, JS Google Maps + React Hooks
Web Dev, Tutorial, JS Gatsby Blog with Disqus comments
Web Dev, Tutorial, JS What is renormalization?
Physics, Science React Hooks Modal
JS, Web Dev, Tutorial Two-Loop Hyperparameter Optimization
Machine Learning, Python, Tutorial, Statistics Masonry Layout with CSS Grid
Design, Web Dev, Tutorial, JS Custom search with Algolia in Gatsby
Web Dev, Tutorial, JS