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VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//QHAXTM
BEGIN:VEVENT
UID:pretalx-juliacon-2022-LGWRV8@pretalx.com
DTSTART:20220727T123000Z
DTEND:20220727T130000Z
DESCRIPTION:DFTK.jl is a framework for the quantum-chemical simulation of m
 aterials using Density Functional Theory. Many relevant physical propertie
 s of materials\, such as interatomic forces\, stresses or polarizability\,
  depend on the derivatives of quantities of interest with respect to input
  data. To perform such computations efficiently Automatic Differentiation 
 has been implemented in DFTK using both forward and backward modes of AD.
DTSTAMP:20260310T194019Z
LOCATION:Purple
SUMMARY:Automatic Differentiation for Quantum Electron Structure - Markus T
 owara\, Niklas Schmitz\, Gaspard Kemlin
URL:https://pretalx.com/juliacon-2022/talk/LGWRV8/
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