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UID:pretalx-juliacon2024-3RFKKQ@pretalx.com
DTSTART;TZID=CET:20240712T162000
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DESCRIPTION:We introduce Cairn.jl\, a Julia library of state-of-the-art act
 ive learning algorithms for training machine learning interatomic potentia
 ls for molecular dynamics simulation. This package provides a unifying Jul
 ia-based platform for rapid comparison and prototyping of active learning 
 schemes\, including a novel technique based on kernel Stein discrepancy fo
 r data querying and labeling.
DTSTAMP:20260611T064248Z
LOCATION:Method (1.5)
SUMMARY:Cairn.jl: Enhanced Molecular Dynamics for Active Learning - Pablo Z
 ubieta\, Joanna Zou
URL:https://pretalx.com/juliacon2024/talk/3RFKKQ/
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