
This entry contains the lectures and hands-on materials for the Spring School on Computational Chemistry, which was organised on-site 17-19 April 2024 at CSC, Finland, as a collaboration of CSC, NCC Finland, and BioExcel-CoE. The School provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of the essential methods for molecular modelling and computational chemistry using modern supercomputers. The content consists of: Classical molecular dynamics, intro + hands on Electronic structure theory, intro + hands on Machine learning in chemistry, intro + hands on Enhanced sampling methods, intro + hands on Below, there is a summary document with full agenda, links to hands-on materials (in GitHub repositories), and the School Q&A list, while lecture slides have been made available also separately (below). The Notebooks are available to be run interactively on the CSC Mahti and Puhti supercomputers by selecting them on course materials (in case you have access), otherwise you can set them up locally.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
