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Updated: Jul 6, 2025

Advanced Compositional Analysis of Nanoparticle-polymer Composites Using Direct Fluorescence Imaging
Published on: July 19, 2016
Accelerating the design of compositionally complex materials via physics-informed artificial intelligence
Dierk Raabe1, Jaber Rezaei Mianroodi2, Jörg Neugebauer3
1Max-Planck-Institut für Eisenforschung, Düsseldorf, Germany. d.raabe@mpie.de.
Abstract:
The chemical space for designing materials is practically infinite. This makes disruptive progress by traditional physics-based modeling alone challenging. Yet, training data for identifying composition-structure-property relations by artificial intelligence are sparse. We discuss opportunities to discover new chemically complex materials by hybrid methods where physics laws are combined with artificial intelligence.
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