AI/machine learning as a material science tool

Online workshop on AI/machine learning as a material science tool: The next phase in materials science and applications   

Webinar 27th of October  2021, 13:00-17:00

Introducing current projects and expertise on AI/machine learning used in material  science. Presenting research. services, facilities and resources related to this topic     

Join the Zoom meeting

https://stockholmuniversity.zoom.us/j/68103848626

Meeting ID: 681 0384 8626  Passcode: 211027

Contact Dr. Mirva Eriksson ([email protected]) for more information

 

Workshop Schedule

13:00-16:00 (CEST), 27th October 2021

13:00-13:05     Dr. Mirva Eriksson, Stockholm University

                          Opening speech

13:05-13:35     Dr. Anneli Kruve, Associate professor Stockholm University, “Predicting concentration and toxicity for suspects in non-targeted screening allows pinpointing the relevant contaminants”

13:35-14:05     Prof. Rinke Patrick, Associate professor Aalto university, "Active materials exploration and characterization with Bayesian optimization".

14:05-14:35     Dr. Matthias Geilhufe,Nordic Institute for Theoretical physics (NORDITA), “AI-design of Organic Quantum Matter “

14:35-14:50     Coffee break

14:50-15:20     Dr. Shun Yu, RISE, “Machine Learning-Assisted Analysis of Small Angle X-ray Scattering”

15:20-15:50      Prof. Peter Hedström, KTH, CTO and founder of Ferritico, "“Application of AI for efficient development, manufacturing and implementation of steel”

15:50-15:55      Prof. Aji Mathew, Stockholm University

                         Concluding remarks

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