124 Scientific Diagrams

Illustrating concepts in physics, chemistry and machine learning.

janosh.github.io/diagrams allows searching, sorting, opening in Overleaf and downloading figures (PDF/SVG/PNG) from this collection.

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

2d-convolution	amplifier_circuit_nmosfet
angular-momentum-quantization	atomistic-gpu-batching
autoencoder	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	complex-sign-plane
concave-functions	convex-functions
convex-hull-of-stability	critical-temperature
cylinder-to-plane	dft-choices
dft-jacobs-ladder	dft-mlff-cff-speed-accuracy-transfer
disk-to-plane	divergence
dropout	ergodic
euler-angles	fermi-dirac-distro
ferroelectric-response	feynman-diagram-1
feynman-diagram-2	feynman-diagram-3
feynman-diagram-4	feynman-diagram-loop
feynman-diagram-loops	feynman-diagram-one-point
feynman-diagram-propagator-loop	feynman-diagrams-loop-regulator
four-vs-of-data	gas-pressure-on-wall
generative-adversarial-network	geometric-bayes
gnn-node-aggregation	grand-canonical-occupation-fluctuations
graph-isomorphism	gravitons
harmonic-oscillator-energy-vs-freq	harmonic-oscillator-energy-vs-inv-temp
heatmap	higgs-potential
high-entropy-alloy	in-flight-auto-batcher
isotherms	jensens-inequality
k-nearest-neighbors	k-space
kohn-sham-cycle	light
m-theory	made
masked-autoregressive-flow	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
momentum-shell	mosfet
normalizing-flow-coupling-layer	normalizing-flow
open-string-topologies	operator-orderings
organic-molecule	otto-cycle
periodic-table	physics-mindmap
plane-to-torus	plate-capacitor
potential-triangle	propagator-fluctuations
qft-propagator-poles	qft-propagators
qm-cost-vs-acc	random-forest
regular-vs-bayes-nn	rg-flow-in-theory-space
rnvp-affine-coupling-layer	roc-curve
roost-update	sabatier-principle
saddle-point	scattering-detailed-balance
seebeck-effect	self-attention
sierpinski-triangle	single-head-attention
skip-connection	spontaneous-magnetization
statistical-energy-distributions	sublattice-points
tanh	thermo-ensemble-trafos
thermodynamic-potentials-venn-diagram	thomson-scattering
timed-event-graph	tori
torus-fundamental-domain	torus
train-test-split	two-point-no-cutoff
two-point-propagator-flow	unregularized-propagator-diagrams
variational-autoencoder	wetterich-equation
wyckoff-positions	zt-vs-n

Scripts

Files in /scripts render and convert the .typ and .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-(typst|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_diagrams_2020,
  title = {Collection of scientific diagrams},
  author = {Riebesell, Janosh and Bringuier, Stefan},
  date = {2020-08-09},
  year = {2020},
  doi = {10.5281/zenodo.7486911},
  url = {https://github.com/janosh/diagrams},
  note = {10.5281/zenodo.7486911 - https://github.com/janosh/diagrams},
  version = {0.2.0},
  urldate = {2023-01-01}, % optional, replace with your date of access
}