Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward
Automation and machine learning techniques are poised to dramatically accelerate the
development of new materials while simultaneously increasing our understanding of the …
development of new materials while simultaneously increasing our understanding of the …
Convergence of Artificial Intelligence, Machine Learning, Cheminformatics, and Polymer Science in Macromolecules
A Jayaraman, B Olsen - Macromolecules, 2024 - ACS Publications
Over the past decade, it has become abundantly clear that there is no escaping the
emerging growth of artificial intelligence (AI) in every facet of our life. The advanced …
emerging growth of artificial intelligence (AI) in every facet of our life. The advanced …
Assessment of Different Application Grades of Post-Consumer Recycled (PCR) Polyolefins from Material Recovery Facilities (MRFs) in the United States
The recycling of plastics has been gaining traction in the following years as many
companies, organizations, and governments are pushing toward a more circular economy …
companies, organizations, and governments are pushing toward a more circular economy …
Sorting polyolefins with near-infrared spectroscopy: identification of optimal data analysis pipelines and machine learning classifiers
Polyolefins (POs) are the largest class of polymers produced worldwide. Despite the intrinsic
chemical similarities within this class of polymers, they are often physically incompatible …
chemical similarities within this class of polymers, they are often physically incompatible …