63820 2025 eng lecture 0 -- -- -- Glasses stand out by their wide and continuously tunable chemical composition and large variety of unique shaping techniques making them a key component of modern high technologies. Glass development, however, is still often too cost-, time- and energy-intensive. The use of robotic melting systems embedded in an ontology-based digital infrastructure might overcome these problems. As part of the German research initiative MaterialDigital [1], the joint project GlasDigital took first steps in this direction combining all main components required for accelerated data driven glass development. For this purpose, a robotic high throughput glass melting system was equipped with inline sensors for process monitoring, machine learning (ML)-based adaptive algorithms for process monitoring and optimization, novel tools for high throughput glass analysis and ML-based algorithms for glass design, including data mining as well as property and process modelling. The talk gives an overview how these tools are interconnected and illustrates their usability. 27th International Congress on Glass 2025 Kolkata, India 20.01.2025 24.01.2025 0 publish false true Ralf Müller eng uncontrolled Materials digitalisation Ingenieurwissenschaften und zugeordnete Tätigkeiten 5 Werkstofftechnik 5.6 Glas Material Datei im Netzwerk der BAM verfügbar ("Closed Access") Präsentation Materialdesign