Messages from the Psi-k trustees and other topics of relevance to the Psi-k community, e.g. community-led software codes or databases…
Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.
In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.
Topical Symposium "Big Data, Machine Learni ... (No replies)
Back to General announcements...
We are organizing Topical Symposium TS4 at The 48-th International Conference on Metallurgical Coatings and Thin Films (ICMCTF 2022). The conference will be held at San Diego, California, USA May 22-27, 2022. The topical session will focus on presenting machine learning, artificial intelligence, visualization algorithms and high-throughput methods, as well as best practices of their applications for the knowledge-based materials design. Challenges related to the generation, curation and exploration of big materials data from a wide range of sources, theoretical, as well as experimental will be discussed. The topical session will bring together the broad community of researchers in metallurgical coatings and thin films with leading experts and young researchers developing and applying data-driven methods in materials science.
Invited speakers:
Jakoah Brgoch, University of Houston, USA, “Finding Thermally Robust Superhard Materials with Machine Learning”
Johanna Rosén, Linköping University, Sweden, “New 3D and 2D Metal Borides from Materials Synthesis Guided by High-Throughput Simulations”
Kenneth S. Vecchio, University of California San Diego, USA, “High Throughput Approaches for Designing Bulk Materials”
Abstract submission portal and more information on the conference can be found at https://icmctf2022.avs.org/.
Details on the session can be found at https://icmctf2022.avs.org/ts4-big-data-machine-learning-artificial-intelligence-and-high-throughput-experimental-methods/
Abstract submission deadline is November 1, 2021, so it is approaching.
We are looking forward to meeting you in San Diego in may 2022.
Session organizers
Igor A. Abrikosov, Linköping University, Sweden
Jochen M. Schneider, Aachen University, Germany
Samir Aouadi, University of North Texas, USA