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

Polymers are a vital part of everyday life. Their chemical universe is so large that it presents
unprecedented opportunities as well as significant challenges to identify suitable application …

Electrostatic capacitors play a crucial role as energy storage devices in modern electrical
systems. Energy density, the figure of merit for electrostatic capacitors, is primarily …

The development of new polymer materials is an emerging field for more than 100 years.
However, it is currently facing major challenges and the application of digital methods can …

Conspectus Polymeric material research is encountering a new paradigm driven by
machine learning (ML) and big data. The ML-assisted design has proven to be a successful …

Abstract Machine learning (ML) models for predicting gas permeability through polymers
have traditionally relied on experimental data. While these models exhibit robustness within …

Polymers with exceptional heat resistance are critically valuable in numerous domains,
particularly as essential components of flexible organic light-emitting diodes. Among these …

We present a simulation of various active learning strategies for the discovery of polymer
solar cell donor/acceptor pairs using data extracted from the literature spanning∼ 20 years …

Thermosets present sustainability challenges that could potentially be addressed through
the design of deconstructable variants with tunable properties; however, the combinatorial …

A necessary transformation for a sustainable economy is the transition from fossil-derived
plastics to polymers derived from biomass and waste resources. While renewable …