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In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning

Autor: Johannes A. Österreicher, Dragan Živanović, Wolfram Walenta, Stefan Maimone, Manuel Hofbauer, Sindre Hovden, Zuzana Tükör, Aurel Arnoldt, Angelika Cerny, Johannes Kronsteiner, Miloš Antić, Gregor A. Zickler, Florian Ehmeier, Milomir Mikulović, Georg Kunschert

Publikováno v: Materials & Design, Vol 243, Iss , Pp 113070- (2024)

In industrial practice, no sensors capable of obtaining microstructural information in situ during thermo-mechanical processing of Al alloys are commonly employed. Inductive electrical conductivity measurement is safe, inexpensive, and capable of acq

Externí odkaz: https://doaj.org/article/d4607a72ef86469e93fa695eaf8b0e46

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Akademický článek

Physics-Based Machine Learning Emulator of at-Sensor Radiances for Solar-Induced Fluorescence Retrieval in the O$_{2}$-A Absorption Band

Autor: Miguel Pato, Jim Buffat, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan Maier, Rupert Muller, Patrick Rademske, Uwe Rascher, Hanno Scharr

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18566-18576 (2024)

The successful operation of airborne and space-based spectrometers in recent years holds the promise to map solar-induced fluorescence (SIF) accurately across the globe. Machine learning (ML) can play an important role in this effort, but its applica

Externí odkaz: https://doaj.org/article/25fa1da6f1dc4faeb86079d3589f0246

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