The Spring School provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment to the essential ingredients for molecular modeling and computational chemistry using modern supercomputers. The School program is being prepared, but the main content will be similar to last years and consists of:
The school is a must for graduate students in the field, providing an overview on "what can be calculated and how should it be done", without forgetting the important aspect of network building. Watch a short video of one our favourite lecturers contemplate this related 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.
The School is already fully booked, but we still accept a few registrations to the waiting list. We will notify participants as early as possible if seats become available.
The learning outcome is to gain an overview of the two main methods in computational chemistry — molecular dynamics and electronic structure calculations — in connection with related HPC software packages and other useful skills in the trade. The workshop is also suited for an intensive crash course (the first two days) in computational modelling and is expected to be useful for students and researchers also in physics, materials sciences and biosciences. The following "Special topics" then build on this foundation.
Working knowledge and some work experience from some branch of computational chemistry will be useful. Basic linux skills for hands-on exercises and elementary Python for Machine Learning hands-on. More detailed description of pre-requisites and links for self study.
The timetable can be seen 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 summary blog of the 2019 School. In 2021 the School is likely organized in mid March - stay tuned!
Price: Free of charge