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UID:pretalx-juliacon-2026-CHQSVY@pretalx.com
DTSTART;TZID=CET:20260814T111500
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DESCRIPTION:We present MLThermoProperties.jl\, a Julia package that provide
 s a variety of state-of-the-art thermodynamic models that combine modern m
 achine learning methods with physical knowledge. These hybrid models obey 
 hard physical constraints while being more accurate and applicable to a wi
 der scope of substances than established models. MLThermoProperties.jl is 
 built upon the Clapeyron.jl package\, leveraging its rich thermodynamic so
 lver ecosystem. The MLThermoProperties.jl models significantly improve mol
 ecular property prediction in various applications in science and engineer
 ing\, e.g.\, chemical process engineering. Exemplary applications will be 
 demonstrated in the talk by coupling MLThermoProperties.jl with Julia's ri
 ch ecosystem for scientific modelling and simulation.
DTSTAMP:20260502T104022Z
LOCATION:Room 4
SUMMARY:MLThermoProperties.jl: State-of-the-art Molecular Property Predicti
 on in Julia's Thermodynamics Ecosystem - Sebastian Schmitt
URL:https://pretalx.com/juliacon-2026/talk/CHQSVY/
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