Abstract Machine learning (ML) has been rapidly transforming the landscape of natural
sciences and has the potential to revolutionize the process of data analysis and hypothesis …

Inverse gas chromatography (IGC) has emerged as a highly sensitive, adaptable, and
effective technology for material analysis. Through employing thermochemical approaches …

Metal-organic framework (MOF) membranes have demonstrated high efficiency for CO 2
capture due to their wide range of pore sizes, high surface area, high porosity, and open …

Low dissipation factor (Df) at high-frequencies is crucial for the application of dielectric
materials in next generation mobile communication. However, the relationship between the …

We employed non-equilibrium molecular dynamics simulations and theoretical predictions
to elucidate organic solvent and water transport mechanisms in dense polymer membranes …

Abstract Poly (ether-ether-ketone)(PEEK) is an attractive material for membrane fabrication
due to its exceptional thermal and chemical stability. However, traditional PEEK processing …

Metal-organic frameworks (MOFs) materials with tunable structures and functionalities have
demonstrated great potential as promising membrane materials, and play a crucial role in …

Artificial intelligence (AI) promotes the polymer design paradigm from a traditional trial-and-
error approach to a data-driven style. Achieving high thermal conductivity (TC) for intrinsic …

Anion-exchange membrane water electrolysers (AEMWEs) and fuel cells (AEMFCs) are
critical technologies for converting renewable resources into green hydrogen (H 2), where …

Crosslinked network polymers have numerous important applications in engineering,
biomedicine, and the environment. Establishing a crosslinked polymer network is an …