Skip to main content

Accelerated Discovery of Sustainable Bioplastics: Automated, Tunable, Integrated Design, Processing and Modeling

Project Personnel

Eleftheria Roumeli

Principal Investigator

University of Washington

Linda Schadler

Co-PI

University of Vermont

Lynda Brinson

Co-PI

Duke University

Kayla Sprenger

Co-PI

University of Colorado at Boulder

Cynthia Rudin

Co-PI

Duke University

Funding Divisions

Division of Materials Research (DMR), Information and Intelligent Systems (IIS), Division of Civil, Mechanical, and Manufacturing Innovation (CMMI)

Despite decades of advances in polymer manufacturing and recycling, most plastic materials are still difficult to recover at end of life, with only a small fraction successfully recycled and the majority accumulating in landfills or the environment. These challenges motivate the development of new material platforms that can be produced from abundant biological resources while offering additional end-of-life pathways such as biodegradation. Thermoformable biopolymer assemblies, or bioplastics, represent a promising class of materials that can be produced directly from biological cells or tissues (biomatter) without extensive extraction or refining steps. The most significant limitation in the ability to design these bioplastics is a poor understanding of the fundamental mechanisms controlling the transformation of biomatter to cohesive bioplastics.

This Designing Materials to Revolutionize and Engineer our Future (DMREF) grant supports research that will combine high-throughput data capture, multiscale modeling, and machine learning to understand the molecular and chemical mechanisms controlling the transition from organism to bioplastic during processing. With that understanding, design pathways will be developed to tailor the processing and composition of the initial structure to control the macroscopic properties, and degradation that occurs during and after use. The broader impacts of this work include advancing U.S. leadership in materials innovation, AI-enabled manufacturing, and sustainable production technologies. The project will also contribute to workforce development by providing interdisciplinary training and mentorship opportunities for graduate and undergraduate students, engaging students in research at the intersection of materials science, data science, and advanced manufacturing, and supporting outreach activities in STEM fields.

 

NSF Logo

Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions. This site is maintained collaboratively by principal investigators with Designing Materials to Revolutionize and Engineer our Future awards, independent of the NSF.

DMREF Logo