Seminarium "Modeling of Complex Systems"

Materials shape modern day technologies, from energy storage and production to microelectronics. Materials' performance emerges from intricate structure–process–property relationships that are difficult to unravel. This talk highlights two cases-studies how machine learning helps navigate such complexity. I will first show how ML enables reliable single-atom detection in microscopy images, revealing subtle structural motifs that govern material stability. I then present how data-driven models capture structural rearrangements in nanoparticles with application in catalysis, providing insight into dynamics that are otherwise hard to observe or simulate. I will then conclude with a personal perspective on the need for a holistic materials-innovation framework that integrates complexity across different scales.

The seminar will be held in hybrid mode: in room 1.40 (IPC PAS).During the seminar the coffee and cakes are provided. Join Zoom Meetinghttps://uw-edu-pl.zoom.us/j/96378632993?pwd=MVgdPR80oKaE4pjLufb2NCtg6ql4Ax.1Meeting ID: 963 7863 2993Passcode: 569551