Artificial intelligence (AI)-based methods continue to make inroads into accelerated
materials design and development. Here, we review AI-enabled advances made in the …

Plastic pollution requires advances in the production, use, and recovery of plastics to
minimize environmental and human-health impacts. Machine Learning (ML) has been …

The large production and indiscriminate disposal of plastics have resulted in serious
resource and global environmental crises, which has raised a demand to develop a more …

The design and development of high-performance marine-degradable plastics have long
been considered a superior strategy to address marine plastic pollution. To achieve a …

Recent years have witnessed the transformative impact from the integration of artificial
intelligence with organic and polymer synthesis. This synergy offers innovative and …

Controlling the reactivity of bonds along polymer chains enables both functionalization and
deconstruction with relevance to chemical recycling and circularity. Because the substrate is …

Elastic materials with high biodegradability should replace those with low biodegradability in
some applications. We previously reported biodegradable thermoplastic elastomers (TPEs) …

In this work, biodegradable and polyester-based vitrimers possessing dynamic ester bonds
are prepared by chemically cross-linking− OH-containing poly (glycerol sebacate)(PGS) with …

Polymer production is rapidly increasing, but there are no large-scale technologies available
to effectively mitigate the massive accumulation of these recalcitrant materials. One potential …

A high-throughput experimentation (HTE) approach is adopted for the synthesis of a special
class of elastomeric polyolefins with a tailored thermomechanical response …