AI MSE Artificial Intelligence in Materials Science and Engineering
Visit us at AI MSE 2025 and learn how LabV's AI-powered Material Intelligence Platform is advancing research and development in materials science. Data-based insights help scientists and engineers make data-driven decisions faster — for more efficient processes and accelerated innovations.
Data-Driven Prediction of Material Properties: A Machine Learning Case Study
11.2025, 11.00 Uhr, Saal 4
Data-Driven Predictionof Material Properties: A Machine Learning Case Study
In our talk, we demonstrate how historical formulations, test data, and process parameters can be consolidated into a central data structure to accelerate development processes. AI-driven analyses reveal hidden correlations between formulation parameters, processing conditions, and product properties. This enables more accurate predictions and faster pre-selection of new formulations.
A practical example from the paint and coatings industry shows how a regression model leverages historical data to reliably predict performance metrics, reduce physical testing, and shorten development cycles. Centralised data management also improves traceability, supports collaboration, and facilitates the integration of external knowledge sources.
Speaker Dr. Stefan Thomas, General Manager at LabV
Meet our experts on site
Chief Revenue Officer | LabV
Talk to our on-site team about concrete ways LabV can measurably accelerate your research & development processes. Here’s what you can look forward to:
Practical examples: How manufacturers can reduce their development time by up to 30%
Quick check: Feel free to bring a current question or challenge. Together, we’ll take a quick look at it and discuss initial approaches.
Live demo: Presentation of the LabV Material Intelligence Platform
Schedule a personal live demo
In a focused 45-minute session, we show how LabV helps R&D teams bring structure to material data, work more efficiently and make confident decisions. No obligation, just clear answers to your questions.
