AI Unlocks the Paint Chemistry of Berlin Wall Murals
Italian scientists used a neural network to analyze spectral data from handheld Raman spectroscopy devices, revealing the paint chemistry secrets of Berlin Wall murals. This research not only sheds light on the materials and techniques used in these historically significant artworks but also provides new technological approaches for preserving street art. By analyzing paint chips from wall fragments and combining Raman spectroscopy, X-ray fluorescence spectroscopy, and optical fiber reflectance spectroscopy, along with a custom-built AI algorithm called SAPNet, researchers precisely identified the pigment composition, including titanium white and up to 75 percent other pigments. This breakthrough demonstrates the significant potential of AI in cultural heritage preservation.