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PRODID:-//pretalx//pretalx.com//juliacon2021//talk//T7UFDU
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UID:pretalx-juliacon2021-T7UFDU@pretalx.com
DTSTART:20210730T190000Z
DTEND:20210730T193000Z
DESCRIPTION:In this talk\, I introduce Chemellia: a machine learning ecosys
 tem (built on Flux.jl) designed for chemistry and materials science proble
 ms involving molecules\, crystals\, surfaces\, etc. I will focus on two pa
 ckages I have developed: first\, ChemistryFeaturization\, which allows cus
 tomizable and invertible featurization of atomic systems. The second\, Ato
 micGraphNets\, implements graph neural network models tailored to atomic g
 raphs\, and substantially outperforms comparable Python packages.
DTSTAMP:20260422T204140Z
LOCATION:Green
SUMMARY:Introducing Chemellia: Machine Learning\, with Atoms! - Rachel C. K
 urchin
URL:https://pretalx.com/juliacon2021/talk/T7UFDU/
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