BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Computational and Data-driven Discovery of Materials
DTSTART:20170302T160000
DTEND:20170302T170000
DTSTAMP:20260510T062940Z
UID:446d6d043feb8ee8908278b0bb40d5db9237d587bb0d69459747082f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Maciej Haranczyk\nIMDEA Materials Institute\, Madrid\, Spa
 in\nChE-602 - Recent Events in Energy seminar series\n\nThe current state-
 of-the-art material modeling tools allow for accurate in silico prediction
  of materials properties\, and to some extent also prediction of material 
 structures. However\, these tools do not typically provide capability to d
 iscover structures with the desired properties nor they do guide experimen
 tal efforts to synthesize the predicted materials. My work focuses on the 
 development of new discovery approaches\, which aim at addressing these ch
 allenges. They include similarity-based and optimization-based approaches 
 to materials screening\, which require expensive characterization only for
  carefully selected and statistically relevant subset of a database\, ther
 efore enabling discoveries at a minimal computational cost. I do also work
  on development of databases of predicted material structures\, and recent
 ly also on synthesizability prediction.\n\nMy talk will give an overview o
 f developments in structure enumeration\, characterization and high-throug
 hput screening in the context of energy-related applications\, and I will 
 demonstrate applications of the developed tools for various classes of mat
 erials\, including nanoporous materials\, ionic liquids and molecular mate
 rials.\n\n 
LOCATION:Zeuzier https://www.google.com/maps/place/EPFL+Valais+Wallis/?ref
 =zeuzier
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR