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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260513T164500
DTEND;VALUE=DATE:20260513T164500
UID:19655@agenda.unifr.ch
DESCRIPTION:Artificial intelligence is changing how complex problems are addressed in materials science, with applications ranging from computation and design to data analysis. This talk will provide a brief introduction to machine learning and will use a series of representative case studies to show how these methods can support both theoretical and experimental research.\nThe examples will include surrogate models that significantly accelerate numerical simulations, inverse-design strategies for nanophotonic structures, neural-network approaches to quantum many-body problems, and data-driven methods for denoising microscopy images and spectral datacubes.\n
SUMMARY:An Introduction to Artificial Intelligence for Materials Science
CATEGORIES:Colloque / Congrès / Forum
LOCATION:PER 08\, 0.51\, Chemin du Musée 3\, 1700 Fribourg
URL;VALUE=URI:https://agenda.unifr.ch/e/fr/19655
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