Sunday 26th August , 10:00-16:00, €50 (Lunch and coffee included)
Location: Building 1525, Room 323, Aarhus University
Map showing the location of Room 323
- The total energy as a functional of the electron density
- Examples of DFT implementations
- Calculations of surface properties for metals and oxides
-The kinetic Monte Carlo algorithm
-Identification of elementary processes and their associated rate constants
-Examples of KMC models for catalysis, ion diffusion and crystal growth using the "kmos" software
-Current frontiers: low-barrier problem, lateral interactions, sensitivity analysis
- machine learning representations of chemical compounds
- automated categorisation of surface structures by unsupervised machine learning
- prediction of surface structure energies by supervised machine learning
- outlook on use of machine learning in surface science
10:00-10:45 DFT (Henrik Grönbeck)
10:45-11:15 Coffee
11:15-12:00 DFT (Henrik Grönbeck)
12:00-13:00 Lunch
13:00-14:15 KMC (Mie Andersen)
14:15-14:30 Coffee
14:30-15:45 Machine Learning (Bjørk Hammer)
16:00 ECOSS Welcome Reception.