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