A research team at the Universitat Jaume I creates a robotic platform with artificial intelligence to accelerate the transition to a sustainable industry (IMAGE)
Caption
A team from the the Universitat Jaume I (UJI) has developed an innovative robotic platform, powered by artificial intelligence, that promises to revolutionize the design of sustainable chemical processes. The system, named Reac-Discovery, makes it possible to optimize in just a few days what previously could take months or even years of work in a traditional laboratory, thanks to its high level of integration and automation.
Chemistry and sustainability are advancing hand in hand. Reducing environmental impact while maintaining industrial productivity is one of the greatest challenges of our time. Clear examples include the use of carbon dioxide —one of the main greenhouse gases responsible for climate change— as a raw material to produce polymers, pharmaceuticals, or high-value materials. Turning a pollutant into a useful resource would help cut emissions and reduce dependence on fossil fuels.
In this context, the Institute of Advanced Materials at the UJI has created Reac-Discovery, a semi-automated digital platform that integrates the design, 3D printing fabrication, and rapid evaluation of catalytic reactors. Thanks to machine learning algorithms and its self-optimization capabilities, the system can analyze and adjust multiple reaction parameters in real time, drastically reducing resource use while generating high-value scientific and industrial data.
What once took months or years to achieve with traditional lab methods can now be done in just weeks. This is because, in conventional methods, experiments are designed, executed, and analyzed manually by humans, a time-consuming process that requires numerous repetitions, manual data recording, and individual interpretation of results.
Credit
INAM-UJI of Castelló
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