Webinar: A data-driven route to more sustainable materials, polymers, and chemical processes
How can we best incorporate recycled feedstock into our material? Can we identify more sustainable alternatives to current materials? How do we modify processes to comply with regulations, reducing the risk of harm to the environment or human health? These are increasingly common challenges for scientists and engineers in industry. They want to use all available data as they respond, optimising formulations and processes while minimising the need for costly trial-and-error experiments. But this data is often sparse or noisy, limiting the value of conventional data analysis or machine learning methods. In this webinar we will show how the Alchemite™ deep learning software solves these problems, with a case study demonstration and touching on examples including polymer blending, biopolymers, and steels.
Date: 5th May 2021
Time: 4 – 5 pm (UK time) // 11 am – 12 noon (US Eastern)
Details and recordings of previous webinars are available on our Webinars page.
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