A data-driven route to more sustainable materials, processes and polymers
How can we best incorporate recycled feedstock into our material? Can we make plastics more sustainable? How do we modify processes to comply with regulations protecting the environment or human health? These are common challenges for scientists and engineers.
Click below to watch the full webinar.
Event Speaker: Dr Tom Whitehead, Head of Machine Learning, Intellegens
Scientists and engineers must use all available data to respond to these challenges, optimising materials and processes, while minimising 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 Alchemite™ deep learning software solves these problems, with examples of metals, formulated products, and a feature demonstration based on polymers.
Original broadcast: 5th May 2021