Correlative microscopy and machine learning –new tools for material characterization

Harald Matthias Fitzek; Ruth Schmidt; Manfred Nachtnebel; Johannes Rattenberger; Armin Zankel; Ferdinand Hofer; Hartmuth Schröttner

Correlative microscopy and machine learning –new tools for material characterization

Harald Matthias Fitzek, Ruth Schmidt, Manfred Nachtnebel, Johannes Rattenberger, Armin Zankel, Ferdinand Hofer, Hartmuth Schröttner

Institute of Electron Microscopy and Nanoanalysis (5190)

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Pages	HM 114
Number of pages	1
Publication status	Published - 2022
Event	20th Plansee Seminar - Reutte, Austria Duration: 29 May 2022 → 3 Jun 2022

Conference

Conference	20th Plansee Seminar
Country/Territory	Austria
City	Reutte
Period	29/05/22 → 3/06/22

ASJC Scopus subject areas

General Materials Science

Fields of Expertise

Advanced Materials Science

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)

Cite this

@conference{bff41bdaea994be6abef5bb3e45e475d,

title = "Correlative microscopy and machine learning –new tools for material characterization",

author = "Fitzek, {Harald Matthias} and Ruth Schmidt and Manfred Nachtnebel and Johannes Rattenberger and Armin Zankel and Ferdinand Hofer and Hartmuth Schr{\"o}ttner",

year = "2022",

language = "English",

pages = "HM 114",

note = "20th Plansee Seminar ; Conference date: 29-05-2022 Through 03-06-2022",

}

TY - CONF

T1 - Correlative microscopy and machine learning –new tools for material characterization

AU - Fitzek, Harald Matthias

AU - Schmidt, Ruth

AU - Nachtnebel, Manfred

AU - Rattenberger, Johannes

AU - Zankel, Armin

AU - Hofer, Ferdinand

AU - Schröttner, Hartmuth

PY - 2022

Y1 - 2022

M3 - Abstract

SP - HM 114

T2 - 20th Plansee Seminar

Y2 - 29 May 2022 through 3 June 2022

ER -