If chemical processors and manufacturers are able to shift toward more sustainable practices – e.g., processes that are more energy efficient, require lower input volumes and are more environmentally and biologically-friendly – the benefits for both the industry and the environment would be significant. Machine learning may well become the technology that enables this shift and supports the drive toward more sustainable practices.
Machine Learning: The Key To Sustainable Manufacturing
By using machine learning tools that are able to create thousands of virtual experiments based on input data, researchers are able to 'game out' and then model the impacts of various changes to processes or chemical compounds, far more quickly and cost-effectively. This is especially valuable during the early stages of R&D.
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