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Area of Science:

  • Materials Science
  • Biotechnology
  • Sustainable Polymers

Background:

  • Biobased materials are crucial for replacing conventional plastics.
  • Designing biobased materials with tailored mechanical properties remains a significant challenge.
  • Methylcellulose-fiber composites offer a promising avenue for sustainable material development.

Purpose of the Study:

  • To optimize the mechanical properties of fully biobased methylcellulose-fiber composite foams.
  • To establish a rational design approach for biobased materials by linking processing, structure, and properties.
  • To demonstrate the transferability of the optimization methodology to other biobased foam formulations.

Main Methods:

  • Utilized Bayesian optimization with Gaussian process regression to map material composition to mechanical properties.
  • Employed rheological properties of liquid biofiber suspensions as fast-to-measure descriptors for foam design.
  • Analyzed the low-dimensional subspace of rheological properties for efficient material design.

Main Results:

  • Identified two optimal compositions for methylcellulose-fiber foams: high methylcellulose for strong closed-cell foams, and high fiber content for methylcellulose-bound fiber networks.
  • Demonstrated that rheological properties effectively predict final foam mechanical properties.
  • Validated the approach for rational design of biobased solid foams.

Conclusions:

  • A novel Bayesian optimization approach enables the rational design of biobased foams with desired mechanical properties.
  • The methodology allows for the creation of methylcellulose-fiber foams suitable as plastic replacements.
  • The developed approach is transferable to a wider range of biobased foam compositions.