In the last five years, there has been tremendous growth in machine learning and artificial
intelligence as applied to polymer science. Here, we highlight the unique challenges …

It has proved challenging to represent the behavior of polymeric macromolecules as
machine learning features for biomaterial interaction prediction. There are several …

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 …

Ceramic electrochemical cells (CECs) are promising devices for clean and efficient energy
conversion and storage due to their high energy efficiency, more extended system durability …

Nature has only provided us with a limited number of biobased and biodegradable building
blocks. Therefore, the fine-tuning of the sustainable polymer properties is expected to be …

Polymers play an integral role in various applications, from everyday use to advanced
technologies. In the era of machine learning (ML), polymer informatics has become a vital …

Modern fuel cell technologies use Nafion as the material of choice for the proton exchange
membrane (PEM) and as the binding material (ionomer) used to assemble the catalyst …

Plasma medicine is an emerging field that applies the science and engineering of physical
plasma to biomedical applications. Low-temperature plasma, also known as cold plasma, is …

Ring-opening enthalpy (Δ H ROP) is a fundamental thermodynamic quantity controlling the
polymerization and depolymerization of an important class of recyclable polymers, namely …

Transformer-based large language models have remarkable potential to accelerate design
optimization for applications such as drug development and material discovery. Self …