Polymer‐based dielectrics are extensively applied in various electrical and electronic
devices such as capacitors, power transmission cables and microchips, in which a variety of …

Cocrystal engineering as an effective way to modify solid-state properties has inspired great
interest from diverse material fields while cocrystal density is an important property closely …

The evolving membrane technology integrated with machine learning (ML) algorithms can
significantly advance the novel membrane material design and fabrication. Although several …

Polymer nanocomposites (PNCs) offer a broad range of thermophysical properties that are
linked to their compositions. However, it is challenging to establish a universal composition …

Machine learning has shown its great potential in the accelerated discovery of advanced
materials in the field of computational molecular design. High-temperature polymer …

Since its inception, the non-equilibrium lattice fluid (NELF) model has become a vital tool in
correlating and predicting the gas solubility behaviour in glassy polymeric membranes. But …

Quantitative structure-property relationship (QSPR) is a powerful analytical method to find
correlations between the structure of a molecule and its physicochemical properties. The …

Abstract We introduce HAPPY (Hierarchically Abstracted rePeat unit of PolYmers), a string
representation for polymers, designed to efficiently encapsulate essential polymer structure …

As the problem of antibiotic resistance continues to escalate, there is an immediate need for
fresh antimicrobial strategies. Traditional antibiotic development processes are time …

The simplified molecular-input line-entry system (SMILES) has been utilized in a variety of
artificial intelligence analyses owing to its capability of representing chemical structures …