Speaker
Dr
Navyanth Kusampudi
(Max-Planck-Institut für Nachhaltige Materialien GmbH)
Description
This presentation will cover ongoing work that integrates machine learning (ML) and data science methods with Atom Probe Tomography (APT) data analysis. The primary objective is to develop a tool (APyT) that automates APT data processing and analysis routines. Additionally, the project aims to create an interface between APyT and existing commercial software like AP Suite to streamline workflows. A key example will demonstrate how ML techniques such as Gaussian Mixture Models and DBSCAN clustering can enhance APT data processing, particularly in composition clustering.
Primary author
Dr
Navyanth Kusampudi
(Max-Planck-Institut für Nachhaltige Materialien GmbH)
