Tikz

TikZ figures for concepts in physics/chemistry/ML

#tikz #latex #scientific-visualization #tikz-gallery #svelte #svelte-kit #physics #machine-learning #tikz-standalone

Collection of 115 standalone TikZ figures for illustrating concepts in physics, chemistry and machine learning.

Check out janosh.github.io to search, sort, open in Overleaf and download figures (PDF/SVG/PNG) from this collection.

Have a TikZ image you'd like to share? Submit a PR with a .tex and metadata .yml file in the assets/ directory and add yourself to the citation.cff file.

Images


`autoencoder`	`aviary`

`basis-plus-lattice`	`bloch-sphere`

`bose-einstein-distribution-3d`	`bose-einstein-distribution`

`branch-and-bound`	`branch-cuts-1`

`branch-cuts-2`	`change-of-variables`

`closed-string-topologies`	`complex-sign-function`

`concave-functions`	`conv2d`

`convex-functions`	`convex-hull-of-stability`

`critical-temperature`	`cylinder-to-plane`

`detailed-balance`	`dft-choices`

`dft-mlff-cff-speed-accuracy-transfer`	`diagrams`

`disk-to-plane`	`divergence`

`dropout`	`energy-distribution-functions`

`ergodic`	`euler-angles`

`fermi-dirac-vs-temp`	`ferroelectric-response`

`feynman-1`	`feynman-2`

`feynman-3`	`feynman-4`

`feynman-diagram-propagator-loop`	`fluctuations`

`four-vs-of-data`	`gan`

`geometric-bayes`	`graph-isomorphism`

`gravitons`	`harm-osc-energy-freq`

`harm-osc-energy-inv-temp`	`hea`

`heatmap`	`higgs-potential`

`isotherms`	`jensens-inequality`

`k-space`	`kohn-sham-cycle`

`loop`	`loops`

`m-theory`	`made`

`maf`	`materials-informatics-challenges`

`materials-informatics`	`matsubara-contour-1`

`matsubara-contour-2`	`matsubara-contour-3`

`matsubara-contour-4`	`matsubara-contour-5`

`matsubara-contour-deformation`	`maxwell-boltzmann-distribution`

`mexican-hat`	`ml-activations`

`mosfet`	`mphil-gantt`

`nf-coupling-layer`	`normalizing-flow`

`one-point`	`open-string-topologies`

`operator-orderings`	`organic-molecule`

`otto-cycle`	`periodic-table`

`physics-mindmap`	`plane-to-torus`

`plate-capacitor`	`poles`

`potential-triangle`	`propagator-fluctuations`

`propagators`	`qm-cost-vs-acc`

`random-forest`	`regular-vs-bayes-nn`

`relation-space`	`rnvp`

`roost-update`	`sabatier-principle`

`saddle-point`	`sbs-aktionen`

`seebeck-effect`	`self-attention`

`shell`	`sign-plane`

`single-head-attention`	`skip-connection`

`spontaneous-magnetization`	`tanh`

`theory-space`	`thermo-ensemble-trafos`

`thermo-ensemble-trafos`	`thomson-scattering`

`tori`	`torus-fundamental-domain`

`torus`	`two-point-no-cutoff`

`two-point`	`unregularized-propagator-diagrams`

`vae`	`wall`

`wetterich-equation`	`wyckoff-positions`

`zt-vs-n`

Scripts

Files in /scripts render and compress the standalone .tex files in /assets to various formats:

low + high-res PNG
PDF
SVG

To run the scripts requires the following dependencies:

pdf-compressor (pip install pdf-compressor)
gs (GhostScript) (optional, worse compression but needs no API key so less setup than pdf-compressor)
pdf2svg (brew install pdf2svg)
convert (part of ImageMagick)
pngquant (brew install pngquant)
zopflipng (brew install zopfli)

To run pdf-compressor directly or to use it as part of the render-tikz.py pipeline, you need a free public API key from https://developer.ilovepdf.com. Pass it to pdf-compressor with:

pdf-compressor --set-api-key project_public_7c854a9db0...

📖 How to cite

You can cite the Zenodo record using the following BibTeX entry:

@software{riebesell_tikz_2020,
  title = {Collection of standalone TikZ images},
  author = {Riebesell, Janosh and Bringuier, Stefan},
  date = {2020-08-09},
  year = {2020},
  doi = {10.5281/zenodo.7486911},
  url = {https://github.com/janosh/tikz},
  note = {10.5281/zenodo.7486911 - https://github.com/janosh/tikz},
  version = {0.1.0},
  urldate = {2023-01-01}, % optional, replace with your date of access
}

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