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Using AI & Machine Learning to Accelerate Sustainable Innovation

Using AI & Machine Learning to Accelerate Sustainable Innovation
Contributors
Green Chem Essential
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Summary
If we are to meet the demands of sustainability and climate change in the time needed, green chemistry advancements will have to happen faster than traditional methods of discovery can often make possible.

In this episode of Green Chem Essential, with host James Rea, Dr. Alexi Lapkin and his fellow researchers describe how they are trying to use the combined power of machine learning & artificial intelligence to help accelerate those discoveries.

This episode includes 1) a 2-minute preview video, 2) a 37-minute video of the full interview, and 3) an audio podcast of the full interview.

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Moderation state
Published
Object Type
Videos (e.g., tutorials, presentations)
Audience
Middle School
High School (Secondary School)
Introductory Undergraduate
Upper/Advanced Undergraduate
Graduate or Professional Training (e.g., Postdoctoral Fellows, Early-Career Professionals)
Other Faculty Educators/Teachers
Published on
Green Chemistry Principles
Less Hazardous Chemical Syntheses
Use of Renewable Feedstocks
U.N. Sustainable Development Goals (SDGs)
Industry, Innovation and Infrastructure
Learning Goals/Student Objectives
Viewers will learn how AI (artificial intelligence) and machine learning are being used to accelerate advancements in green chemistry. They will also learn about the value of "outside-the-box" thinking and the value of multidisciplinary teams.
Common pedagogies covered
Computer-based learning
Multimedia-based learning
Student-centered learning
Time required (if applicable)
37 minutes to watch the full episode or listen to the podcast ; 2 minutes to watch the preview video

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