CAS: Computation-Assisted Discovery of Enantioselective Polymerization Catalysts for Degradable Polyesters

Information

  • NSF Award
  • 2404069
Owner
  • Award Id
    2404069
  • Award Effective Date
    9/1/2024 - 3 months ago
  • Award Expiration Date
    8/31/2027 - 2 years from now
  • Award Amount
    $ 600,000.00
  • Award Instrument
    Standard Grant

CAS: Computation-Assisted Discovery of Enantioselective Polymerization Catalysts for Degradable Polyesters

The Macromolecular, Supramolecular and Nanochemistry Program in the Division of Chemistry supports the research groups of Prof. Rong Tong and Prof. Hongliang Xin at the Virginia Polytechnic Institution and State University to develop new chemistry for the synthesis and recycling of stereocomplex poly(lactic) acids (sc-PLA). With the co-funding support from the Official of Strategic Initiatives of the Directorate for Mathematical and Physical Sciences, computation-assisted approaches will be used to help identifying efficient catalysts for the polymerization process. Poly(lactic) acid (PLA) is a biodegradable and biocompatible polyester. The goal of this project is to improve understanding of the critical catalyst structural features affecting polymerization enantioselectivity and to enable efficient synthesis of sc-PLA, which is anticipated to have enhanced thermal-mechanical properties. Undergraduates and graduate students will receive interdisciplinary research training at the intersection of catalysis, polymer science, and data science. The accomplishments will be communicated to the public and scientific community, with a commitment to the open-source release of all datasets and models.<br/><br/>Efficient enantioselective catalysts for scalable synthesis of recyclable sc-PLA from racemic lactide remain elusive. The two research teams aim to establish an integrated experimental and computational framework to identify efficient catalysts and to improve understanding of the structural features affecting polymerization enantioselectivity and mechanism. This research will focus on studying enantioselective ring-opening polymerization mediated by bimetallic chiral complexes. A combination of density-function theory (DFT) computations and machine learning models will be employed to assist the discovery of efficient catalysts. The effectiveness in the synthesis of sc-PLA from industrial monomer mixtures of racemic lactide and meso-lactide as well as the recyclability of sc-PLA will be evaluated.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Suk-Wah Tam-Changstamchan@nsf.gov7032928684
  • Min Amd Letter Date
    7/29/2024 - 4 months ago
  • Max Amd Letter Date
    7/29/2024 - 4 months ago
  • ARRA Amount

Institutions

  • Name
    Virginia Polytechnic Institute and State University
  • City
    BLACKSBURG
  • State
    VA
  • Country
    United States
  • Address
    300 TURNER ST NW
  • Postal Code
    240603359
  • Phone Number
    5402315281

Investigators

  • First Name
    Rong
  • Last Name
    Tong
  • Email Address
    rtong@vt.edu
  • Start Date
    7/29/2024 12:00:00 AM
  • First Name
    Hongliang
  • Last Name
    Xin
  • Email Address
    hxin@vt.edu
  • Start Date
    7/29/2024 12:00:00 AM

Program Element

  • Text
    OFFICE OF MULTIDISCIPLINARY AC
  • Code
    125300
  • Text
    Macromolec/Supramolec/Nano
  • Code
    688500

Program Reference

  • Text
    Artificial Intelligence (AI)
  • Text
    CAS-Critical Aspects of Sustainability