The Finnish Center for Artificial Intelligence FCAI hosts the AI in Materials Science workshop on 28 January 2020. The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community.
The program starts with six presentations introducing research examples on AI-assisted materials research. The presentations are followed by a kick-off meeting of the FCAI Highlight E AI-driven design of materials. This kick-off meeting introduces the concept of FCAI Highlights to the wider research community in the Helsinki area. The objective of the kick-off meeting is to identify researchers that are interested in the combination of AI and materials science and that would like to contribute to FCAI.
We invite researchers working in the multidisciplinary fields of AI and materials science to join the workshop!
Time: January 28, 2020 at 9 am – 12 pm
Venue: The Stage, Aalto Design Factory (Betonimiehenkuja 5 C, Espoo, about 10 min walk from Aalto University metro station)
We ask you to please register for the event using the link below by January 22, 2020.
Welcome!
PROGRAM
Chair: Patrick Rinke (Aalto University)
09:00–09:20
Adam Foster (Aalto University): Automatic structure discovery in atomic force microscopy
09:20–09:40
Lasse Laurson (University of Tampere): Machine learning plastic deformation of crystals
09:40–10:00
Miguel Caro (Aalto University): Accelerated molecular dynamics with machine learning interatomic potentials
10:00–10:30
Coffee break
10:30–10:50
Flyura Djurabekova (University of Helsinki): Machine learning methods for modelling diffusion in metals by Kinetic Monte Carlo on rigid lattice
10:50–11:10
Evgeny Malitskiy and Eric Komla (Aalto University): AI applied to thermal desorption spectroscopy to estimate sensitivity of steel to hydrogen
11:10–11:30
Milica Todorovic (Aalto University): Advanced materials design with active learning
11:30–12:00
Kick-off workshop, FCAI Highlight E ‘AI-driven design of materials’