Spotlight Members
All AIM EFRC Members have done incredible research, but these particular members are doing research that can change how manufacturing is done on a global scale. Click on their pictures to learn more on what they do.
School: University of Delaware
Research: Thermoforming of semi-crystalline thermoplastic fiber reinforced composites
Sathiska Kaumadi
School: Clemson University
Research: Chemically recycled post-consumer PET and lifecycle
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Madhura Athale
School: Ohio State University
Research: Material-process-microstructure-performance (MP2) relationships of thermoplastic composite materials
Dhanashree Shinde
School: University of Delaware
Research: Thermoplastic composites for automotive structural parts.
School: University of Delaware
Research: Convert the waste PET into non-isocyanate thermoplastic polyurethane (NITPU)
Chung-Yin Lin
School: University of Wisconsin-Madison
Research: Integrating experimental data, modeling, and machine learning
Shawn Yong
School: University of Delaware
Research: Deconsolidation and void formation in thermoplastic composites
Hayden Marquard
School: University of Delaware
Research: The thermomechanical properties of flax fiber reinforced semi-crystalline thermoplastic composites after environmental exposure
Samuel Shlafer
School: University of Florida
Research: Aligning 1D materials in polymer matrices to give composite materials superior properties.
Bethany Guin
School: Clemson University
Research: Combining chemically recycled PET with bio-based monomers to create thermoplastic matrices with lower carbon intensity and environmental footprint.
Dr. Yunxia Chen
School: University of Florida
Research: 3D printing assisted reinforced polymer composites and their application in thermal management devices
Dr. Minglei Lu
School: Clemson University
Research: The predictive modeling of biomass comminution
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Dr. Elham Kianiharchegani
School: Brown University
Research: Discovering Mathematical Equations through Symbolic Regression
Dr. Yezhuo Li
School: Clemson University
Research: Constrained Bayesian Optimization Under Gaussian Process Models in Cure Process