Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

MA: Fachverband Magnetismus

MA 35: PhD Focus Session: Using Artificial Intelligence Tools in Magnetism

Donnerstag, 20. März 2025, 09:30–13:00, H20

Over the last decade, the field of artificial intelligence (AI) has experienced significant growth and progressively offers applications across a wide range of topics, becoming an integral part of our daily lives. Its importance was also underscored by the 2024 Nobel Prize in Physics awarded to John J. Hopfield and Geoffrey E. Hinton ’for foundational discoveries and inventions that enable machine learning with artificial neural networks’. The application of AI methods is also becoming increasingly relevant in research for prediction and data analysis to enhance research, making it faster and more efficient. Typically, these AI tools come from the domain of machine learning, centered on deep learning architectures such as neural networks, convolutional neural networks, and transformer networks. To ensure young researchers, especially in the field of magnetism, can benefit from this progress, we organize the PhD Focus session ’Using Artificial Intelligence Tools in Magnetism’. In this session, experts will demonstrate in highly pedagogical presentations how AI tools can be applied in material science and magnetism. Additionally, there will be a direct, practical introduction to this area of AI tools in magnetism with a hands-on part, where each participant can engage and explore the fascinating world of AI tools for magnetism firsthand using a prepared repository. You can find the repository at https://github.com/kfjml/AI-Magnetism-Session-Regensburg-2025 , please follow the instructions in the Readme, ideally before the session. Alternatively, you can download the repository as a ZIP file, including the instructions in the Readme, from https://download.klaeui-lab.de/AI-Magnetism-Session-Regensburg-2025.

Organizers: Kilian Leutner, kileutne@students.uni-mainz.de; Thomas B. Winkler, thomas.winkler@ru.nl; Robin Msiska, robin.msiska@uni-due.de; Kübra Kalkan, kuebra.kalkan@uni-due.de, Jan Maskill, maskill@rptu.de

	09:30		Introduction
	09:35	MA 35.1	Hauptvortrag: Artificial Intelligence for Materials Science: Critical Importance of Rare Events, Active Learning, and Uncertainties — •Matthias Scheffler
	10:05	MA 35.2	Hauptvortrag: Physics meets data: decoding magnetic inhomogeneities through latent analysis — •Karin Everschor-Sitte
	10:35	MA 35.3	Hauptvortrag: AI used for micromagnetic simulations — •Thomas Schrefl, Felix Lasthofer, Qais Ali, Heisam Moustafa, Harald Oezelt, Alexander Kovacs, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, and Akira Kato
	11:05		10 min break
	11:15	MA 35.4	Hauptvortrag: Future method for estimating parameters in magnetic films using machine learning — •Kenji Tanabe
	11:45	MA 35.5	Hands-on workshop for using AI in magnetism research — •Kilian Leutner, Thomas B. Winkler, Jan Maskill, Kübra Kalkan, and Robin Msiska