The Design of Experiments (DOE) tools in Alchemite make it quick and easy to decide which experiments to do next in an experimental programme, meaning you can plan projects in just a few button clicks, while achieving objectives with 50-80% fewer experiments compared to conventional DOE.
A new feature (see video, below) makes the DOE workflow even easier. You can now design experiments with your latest model using the same configuration as previous experiments, even if they were run with a different model. The enhancement saves users time, reducing repetitive work and making it easier to modify and improve models when taking an iterative, adaptive approach to DOE.
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The DOE tools are one of many features in Alchemite™ Analytics for applying powerful machine learning capabilities to the development of chemicals, formulations, materials, and processes. If you are not currently a user, why not request a demonstration of Alchemite™ Analytics tailored to your application area?
