Regensburg 2025 – wissenschaftliches Programm
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PLV: Plenarvorträge
PLV III
PLV III: Plenarvortrag
Montag, 17. März 2025, 14:00–14:45, H2
Physics informed artificial intelligence and data-driven design of materials — •Jörg Neugebauer — MPI für Nachhaltige Materialien, Düsseldorf, Germany
Recent advances in materials science have introduced novel compositionally and structurally complex materials, opening up a vast configuration space for discovery. These innovative materials promise to revolutionize industries related to energy storage, transportation, and medicine. However, traditional methodologies fall short in dealing with the high-dimensional configuration spaces involved. This presentation addresses the application of physics-informed artificial intelligence (PIAI) and data-driven strategies as an emerging solution. PIAI uses physical laws and advanced simulation techniques to improve the predictability of AI models, while automated digital workflows facilitate efficient exploration and material discovery. This synergy accelerates the design pipeline and effectively supports navigation of the newly opened vast material space. Real-world case studies will illustrate the potential of these methodologies.
Keywords: Materials science; Artificial Intelligence; Machine learning; Data driven strategies; Automated digital workflows