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DTSTAMP:20260707T144257Z
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DTSTART:20200310T070000Z
DTEND:20200313T120000Z
DESCRIPTION:Description\n\nThe Spring School provides a comprehensive\, tut
 orial-style\, hands-on\, introductory and intermediate-level treatment to 
 the essential ingredients for molecular modeling and computational chemist
 ry using modern supercomputers. The School program is being prepared\, but
  the main content will be similar to last years and consists of:\n\n\n	Cla
 ssical molecular dynamics\, intro + hands on (1 day)\n	Electronic structur
 e theory\, intro  + hands on (1 day)\n	Machine learning in chemistry\, in
 tro + hands on\n	Special topics: e.g. on Visualization\, Enhanced Sampling
  Techniques\, etc. \n\n\nThe school is a must for graduate students in the
  field\, providing an overview on "what can be calculated and how should i
 t be done"\, without forgetting the important aspect of network building. 
 Watch a short video of one our favourite lecturers contemplate this relate
 d to the 2019 School. To get an idea of the depth in which the topics are 
 covered\, take a look at the materials from 2019 School.\n\nThe School is 
 already fully booked\, but we still accept a few registrations to the wait
 ing list. We will notify participants as early as possible if seats become
  available.\n\nLearning outcome\n\nThe learning outcome is to gain an over
 view of the two main methods in computational chemistry — molecular dyna
 mics and electronic structure calculations — in connection with related 
 HPC software packages and other useful skills in the trade. The workshop i
 s also suited for an intensive crash course (the first two days) in comput
 ational modelling and is expected to be useful for students and researcher
 s also in physics\, materials sciences and biosciences. The following "Spe
 cial topics" then build on this foundation.\n\nPrerequisites\n\nWorking kn
 owledge and some work experience from some branch of computational chemist
 ry will be useful. Basic linux skills for hands-on exercises and elementar
 y Python for Machine Learning hands-on. More detailed description of pre-r
 equisites and links for self study.\n\nProgramme\n\nThe timetable can be s
 een on the left menu and materials (uploaded after the School) accessed at
  the bottom of the page. For an overview of the previous event\, read a su
 mmary blog of the 2019 School. In 2021 the School is likely organized in m
 id March - stay tuned!\n\nSoftware used in the School\n\nTBA\n\n \n\nLect
 urers  \n\n\n	Dr. Filippo Federici Canova\, Aalto University\, Finland\n
 	Dr. Mikael Johansson\, CSC - IT Center for Science\, Finland\n	Dr. Luca M
 onticelli\, IBCP (CNRS)\, Lyon\, France\n	Dr. Michael Patzschke\, Helmholt
 z-Zentrum Dresden-Rossendorf\, Germany\n	Prof. Patrick Rinke\, Aalto unive
 rsity\, Finland\n	Dr. Martti Louhivuori\, CSC - IT Center for Science\, Fi
 nland\n	Dr. Atte Sillanpää\, CSC - IT Center for Science\, Finland\n	Dr.
  Nino Runeberg\, CSC- IT Center for Science\, Finland\n	TBC\n\n\nLanguage:
   English\nPrice:         Free of charge\nhttps://events.prace-ri
 .eu/event/942/
SUMMARY:Spring School in Computational Chemistry 2020 @ CSC
URL;VALUE=URI:https://events.prace-ri.eu/event/942/
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