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Machine learning-driven digital transformation of the coating industry

December 15, 2020

Dr. Jost Göttert and Dr. Christian Schmitz from the HIT Institute of Surface Technology, Hochschule Niederrhein in Krefeld, provide recent advances in digital chemistry related to high throughput experimentation and machine learning which enables acceleration and optimization of coatings formulation development.

They illustrate their “iHIT Solution Engine” process with practical examples, and discuss how to use the Digital Model Information.

Webinar

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For details please contact [email protected]

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Read more about High-throughput solid microsampling through stochastic robotic automation
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High-throughput solid microsampling through stochastic robotic automation

Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.

Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. 

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