Janosh
@jrib_
ML for materials discovery. Prev @ Radical AI & Materials Project (LBNL).
Don't know who needs to hear this, but materials discovery was never about randomly mixing things in a lab and happening upon transistors by chance. There are layers and layers of understanding that any ML approach could really benefit from.
Pymatviz is becoming my favorite atomistic visualization tool, very easy to use and great color palettes. Really good job @jrib_ !
Thanks to @Andrew_S_Rosen and his group as well as @ganganabhijeet and @FallettaStefano for early user feedback that guided development. Of course, more feature suggestions always welcome at github.com/janosh/matterv… and github.com/janosh/pymatvi… (if regarding the Python widgets).
also worth pointing out that typst has HTML export now. you're limited in terms of interactivity but if you only need figures and text that you can upload to a static site as easily as you can send it to a (progressive) journal, typst is unbeatable! github.com/typst/typst
I'm coming to the realization that my research papers should be written first as web apps ... meaning rather than write LaTeX document for formal publishing ... write a web app structured with all the standard sections but with the additional functionality needed, then when you…
I'm coming to the realization that my research papers should be written first as web apps ... meaning rather than write LaTeX document for formal publishing ... write a web app structured with all the standard sections but with the additional functionality needed, then when you…