Developing self-optimizing reactors : The SMAPI project
We are delighted to announce that the collaborative project "SMAPI", which involves ChemIntelligence and three other partners, has been accepted for funding by the Région Auvergne-Rhône-Alpes.
It aims at developing new chemical reaction optimization tools and integrating them with reactors in order to make them able to optimize chemical reactions completely autonomously. These self-optimizing reactors (batch and continuous) will be equipped with advanced online analysis tools, that will generate rich data during the experiments. The cutting-edge software components, involving machine learning algorithms, will treat the data generated by the online sensors and determine the most relevant experiments to perform in order to maximize the yield and selectivity, minimize the amount of byproducts and maximize the environmental performance of the chemical reactions in a minimum number of experiments.
The project will last two years, starting in october 2020, and has a total budget of almost 1 million euros. Our partners for this project are Optimistik, a company specialized in software for managing and analyzing process industry data, Axel'One, a collaborative R&D platform specialized in chemistry and environment and the LIRIS academic laboratory, specialized in computer science. ChemIntelligence will bring to the project its know-how in machine learning and optimization algorithms.
We warmly thank the Région Auvergne-Rhône-Alpes for supporting this project, which will ultimately allow chemical companies to optimize chemical reactions faster than ever!