Accelerated Development of Novel Biomass-Based Polyurethane Adhesives via Machine Learning.

ABSTRACT: 2-Pyrone-4,6-dicarboxylic acid (PDC) can be produced on a large scale from lignin by transformed bacteria, and its use as a bifunctional monomer to synthesize biomass-based polymers has been reported. Recently, excellent adhesive properties of the resulting biomass-based polymers were also reported, but their performance has not yet been optimized. In this study, we focus on improving the adhesive properties of PDC-based polyurethanes (PUs) by combining experiments and machine learning (ML). We synthesized an initial data set of 25 adhesive samples from different polyols and isocyanates with different isocyanate-to-hydroxyl ratios (r). Adhesive strengths were measured after hot-pressing at varying temperatures (T_heat, °C) and durations (t_heat, h),

SUBMITTER: Cheng Y 

PROVIDER: S-EPMC11912195 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature