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Automated Thickness Determination from 4DSTEM Data using Convolutional Neural Networks

Research output: Contribution to conferencePosterpeer-review

Abstract

Accurate sample thickness determination is essential for many TEM characterization techniques. PACBED is a widely used method for precise thickness measurement in STEM. However, manual comparison of simulated and experimental patterns is time-consuming, subjective, and requires expertise in multislice simulations. Additionally, simulations must be generated for each material system and set of experimental parameters separately [1,2].
Original languageEnglish
Publication statusPublished - 2025
Event15th ASEM Workshop 2025 - Montanuniverstität Leoben, Leoben, Austria
Duration: 24 Apr 202525 Apr 2025
https://www.unileoben.ac.at/asemworkshop2025/

Conference

Conference15th ASEM Workshop 2025
Country/TerritoryAustria
CityLeoben
Period24/04/2525/04/25
Internet address

ASJC Scopus subject areas

  • General Materials Science

Fields of Expertise

  • Advanced Materials Science

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

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