Home » Molecular Modeling on High Performance Computer Systems – 2020

Molecular Modeling on High Performance Computer Systems

Workshop (October 12-16, KTH, Stockholm)

The molecular modeling workshop aims to provide doctoral students with hands-on
experience in carrying out electronic structure calculations on high-performance
computer systems. The week-long workshop will cover the essential tasks of molecular
modeling: standard electronic structure computations using density functional theory
methods; various molecular properties computations with density functional theory and
ab initio correlated methods; modeling of complex heterogeneous environments using
hybrid quantum mechanics/molecular mechanics methods.

The workshop will be held from Monday to Friday (October 12-16, 2020), and will include
morning lectures and afternoon hands-on exercises. Currently, we plan to organize all
activities remotely via zoom. The schedule of lectures are given below:

MONDAY (October 12):
9:00-12:00 Introduction to scientific Python (https://kth-se.zoom.us/j/63903166248)
14:00-17:00 Quantum chemistry using Jupyter notebook (https://kth-se.zoom.us/j/68806857128)
TUESDAY (October 13):
9:00-12:00 Density Functional Theory (DFT) methods for molecules (https://kth-se.zoom.us/j/66087316719)
14:00-17:00 DFT modeling of catalytic processes (https://kth-se.zoom.us/j/69578898670)
WEDNESDAY (October 14):
9:00-12:00 Molecular properties (https://kth-se.zoom.us/j/63151596651)
14:00-17:00 DFT computations of spectroscopic parameters (https://kth-se.zoom.us/j/66232928790)
THURSDAY (October 15):
9:00-12:00 Correlated methods for molecular properties (https://kth-se.zoom.us/j/65807694263)
14:00-17:00 ADC(2) computations of spectroscopic parameters (https://kth-se.zoom.us/j/64407681986)
FRIDAY (October 16):
9:00-12:00 Quantum mechanics/molecular mechanics (QM/MM) methods (https://kth-se.zoom.us/j/65716660862)
14:00-17:00 QM/MM modeling of solvated optical probes (https://kth-se.zoom.us/j/64294807176)

Application

First name*                                                         Family name*

University / Affiliation *

Email*:(You must use your university email address, not gmail, yahoo, hotmail etc.)

Supervisor *

Subject of Phd-project:

Notes: