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VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Adrian Roitberg (University of Florida)
DTSTART:20211029T150000Z
DTEND:20211029T153000Z
DTSTAMP:20260404T131143Z
UID:ITS-MLchemistry2021/1
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/ITS-M
 Lchemistry2021/1/">A Star Wars character beats Quantum Chemistry!  A neura
 l network accelerating molecular calculations</a>\nby Adrian Roitberg (Uni
 versity of Florida) as part of Machine Learning in Chemistry\n\nAbstract: 
 TBA\n
LOCATION:https://stable.researchseminars.org/talk/ITS-MLchemistry2021/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Christine Isborn (University of California Merced)
DTSTART:20211029T153000Z
DTEND:20211029T160000Z
DTSTAMP:20260404T131143Z
UID:ITS-MLchemistry2021/2
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/ITS-M
 Lchemistry2021/2/">Machine learning energy gaps of molecules in the conden
 sed phase for linear and nonlinear optical spectroscopy</a>\nby Christine 
 Isborn (University of California Merced) as part of Machine Learning in Ch
 emistry\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/ITS-MLchemistry2021/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Connor Coley (MIT)
DTSTART:20211029T160000Z
DTEND:20211029T163000Z
DTSTAMP:20260404T131143Z
UID:ITS-MLchemistry2021/3
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/ITS-M
 Lchemistry2021/3/">Accelerated molecular design and synthesis for drug dis
 covery</a>\nby Connor Coley (MIT) as part of Machine Learning in Chemistry
 \n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/ITS-MLchemistry2021/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Brett Savoie (Purdue University)
DTSTART:20211029T163000Z
DTEND:20211029T170000Z
DTSTAMP:20260404T131143Z
UID:ITS-MLchemistry2021/4
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/ITS-M
 Lchemistry2021/4/">More than mimicry? The challenges of teaching chemistry
  to deep models</a>\nby Brett Savoie (Purdue University) as part of Machin
 e Learning in Chemistry\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/ITS-MLchemistry2021/4/
END:VEVENT
END:VCALENDAR
