Have you ever wished for smart alternatives to slow experimental progress? Did you find yourself getting tired of repeating experiments many times, one after the other to improve your materials? Have you ever thought of bringing conventional experimentation to a new level of success rate and confidence in its results? Have you been unsatisfied with leaving information behind due to time constraints on your projects?
The machinery of research and innovation is turning ever faster. Conventional approaches for experimentation quickly reach their limitations if multiple parameter optimizations are concerned, as it is generally the case with real-world problems in materials sciences.
There are tools and methods available that can significantly speed-up experimentation, analytics and materials testing when combined with enhanced data evaluation. While these methods are especially in combination extremely powerful, even if applied in isolation at critical junctions of a scientific problem, often results in significant acceleration and new insights.
ProcessNet and its partners offer a special course consisting of 4 modules:
The first two modules will be organized as an add-on event to the 9th International Conference on Combinatorial and High-Throughput Materials Science, 26-28 September 2016 in Jena, Germany.