An interpretable model for polydiketoenamine recyclability

Plastics are versatile and durable yet made for eventual disposal, creating an inevitable environmental issue with plastic waste. Polydiketoenamines (PDKs) offer a solution as novel plastics that are infinitely chemically recyclable through acid-catalyzed hydrolysis. However, experimentally designing new PDK chemistries that target specific properties yet are still chemically recyclable requires significant time and resources. Here, we identify design rules for recyclable PDK chemistries using an interpretable model. We constructed a dataset of molecular features and hydrolysis kinetics by performing high-throughput hybrid-DFT calculations, taking into account the effect of molecular conformation on reaction energetics. We employed a random forest model and symbolic regression to yield an interpretable model based on features from the molecule geometry and electronic structure. This model was validated with 5-fold cross validation, and a subset of data was validated with experimental findings. In collaboration with an experimental team, we validated our model by testing recycling rate of a PDK monomer based on the discovered design rules.