Automated matching of two-time x-ray photon correlation maps from phase-separating proteins with cahn–hilliard-type simulations using auto-encoder networks

HIGHLIGHTS

• who: XPCS and colleagues from the Department Physik, Universitau0308t Siegen, Walter-Flex-Strasse, Siegen, Germany, bInstitut fuu0308r Angewandte Physik, Universitau0308t Tuu0308bingen, Auf der Morgenstelle, Tuu0308bingen, Germany, cDepartment of Physics, AlbaNova have published the article: Automated matching of two-time X-ray photon correlation maps from phase-separating proteins with Cahnu2013Hilliard-type simulations using auto-encoder networks, in the Journal: (JOURNAL)
• what: Employing a minimum 2D model which allows a network with finite computer resources to be trained, the authors report on a first step towards this goal and present a neural_network method for analysis and . . .
  

   

  

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