home>In Silico Flurries — A Snowflake Catalogue

thermodynamics + art

These are the words that not in the English language, but should be. Using a recurrent neural network, I generate unnames, unfeelings, uncountries, undrugs and unanimals, among others.

It's about time we start studying the femome and manome

It's Snowing in my CPU — a Snowflake catalogue

She was all stars and arrows, squares and triangles of ice and light, like a church window; she was like a flower with many shining petals; she was like lace and she was like a diamond. But best of all, she was herself and unlike any of her kind.
— Paul Gallico, Snowflake

Somewhere in the world, it's snowing. But you don't need to go far—it's always snowing on this page. Explore random flurries, snowflake families and individual flakes. There are many unusual snowflakes and snowflake family 12 and family 46 are very interesting.

But don't settle for only pixel snowflakes—make an STL file and 3D print your own flakes!

Ad blockers may interfere with some flake images—the names of flakes can trigger ad filters.

And if after reading about my flakes you want more, get your frozen fix with Kenneth Libbrecht's excellent work and Paul Gallico's Snowflake.

≡ random sample families snowland flake oddities posters scientific american 3D print credits & code

This is a collection of snowflakes simulated using the Gravner-Griffeath model, composed of 15,541 snowflakes grouped into 50 families using k-means clustering. This snowflake collection took 128.4 CPU days to compute.

Flakes are categorized by gender. A flake is categorized as female if the freezing parameter `\kappa < \kappa_{\text{median}}`, otherwise it is male.

Each snowflake is also given a unique name generated from a recursive neural network assigned alphabetically based on the snowflake's `\theta` attachment parameter.