2022 Technical Papers
#369
A Hierarchical Machine Learning Model to Predict the Modulus of Bi-Soft Segment Polyurethanes
Calvin Gang, Joseph Pugar, Newell Washburn
Carnegie Mellon University
#370
Advanced Analysis Techniques for Root Cause Polyurethane Failure
Matt Sennett
LANXESS Corporation
#371
Elucidating the Physicochemical Basis of the Glass Transition Temperature in Linear Polyurethane Elastomers with Machine Learning
Joseph A. Pugar, Christopher M. Childs, Christine Huang, Karl W. Haider, and Newell R. Washburn
Carnegie Mellon University and Covestro LLC
#372
Mass balanced raw materials for sustainable cast elastomers
Mike Lorenzo
Covestro LLC
#373
The National Institute for Materials Advancement (NIMA) – Sustainable Polyurethanes and Workforce Development
Tim Dawsey, PhD
Pittsburg State University
#374
Development Of High Performance Bio-Based Polyurethane Systems
George Brereton, Ronald M. Emanuel Jr., Gerald King, Dr. Zhenya Zhu
LANXESS Corporation