Advanced Strategies in Metal‐Organic Frameworks for CO2 Capture and Separation

M Usman, N Iqbal, T Noor, N Zaman… - The Chemical …, 2022 - Wiley Online Library
The continuous carbon dioxide (CO2) gas emissions associated with fossil fuel production,
valorization, and utilization are serious challenges to the global environment. Therefore …

Structural complexity in Prussian blue analogues

J Cattermull, M Pasta, AL Goodwin - Materials Horizons, 2021 - pubs.rsc.org
We survey the most important kinds of structural complexity in Prussian blue analogues,
their implications for materials function, and how they might be controlled through judicious …

Machine learning approaches for the prediction of materials properties

S Chibani, FX Coudert - Apl Materials, 2020 - pubs.aip.org
We give here a brief overview of the use of machine learning (ML) in our field, for chemists
and materials scientists with no experience with these techniques. We illustrate the workflow …

High-rate nanofluidic energy absorption in porous zeolitic frameworks

Y Sun, SMJ Rogge, A Lamaire, S Vandenbrande… - Nature Materials, 2021 - nature.com
Optimal mechanical impact absorbers are reusable and exhibit high specific energy
absorption. The forced intrusion of liquid water in hydrophobic nanoporous materials, such …

Machine-learning-assisted high-throughput computational screening of high performance metal–organic frameworks

Z Shi, W Yang, X Deng, C Cai, Y Yan… - … Systems Design & …, 2020 - pubs.rsc.org
Over the past two decades, the number of works on metal–organic frameworks (MOFs) in the
fields of gas adsorption and separation has experienced explosive growth due to their high …

Combined deep learning and classical potential approach for modeling diffusion in UiO-66

SK Achar, JJ Wardzala, L Bernasconi… - Journal of Chemical …, 2022 - ACS Publications
Modeling of diffusion of adsorbates through porous materials with atomistic molecular
dynamics (MD) can be a challenging task if the flexibility of the adsorbent needs to be …

Bridging materials innovations to sorption-based atmospheric water harvesting devices

Y Zhong, L Zhang, X Li, B El Fil, CD Díaz-Marín… - Nature Reviews …, 2024 - nature.com
The atmosphere contains 13,000 trillion litres of water, and it is a natural resource available
anywhere. Sorption-based atmospheric water harvesting (SAWH) is capable of extracting …

Sub-micrometer phonon mean free paths in metal–organic frameworks revealed by machine learning molecular dynamics simulations

P Ying, T Liang, K Xu, J Zhang, J Xu… - ACS Applied Materials …, 2023 - ACS Publications
Metal–organic frameworks (MOFs) are a family of materials that have high porosity and
structural tunability and hold great potential in various applications, many of which require a …

Simulating the structural phase transitions of metal-organic frameworks with control over the volume of nanocrystallites

L Schaper, R Schmid - Communications Chemistry, 2023 - nature.com
Flexible metal-organic frameworks (MOFs) can undergo structural transitions with significant
pore volume changes upon guest adsorption or other external triggers while maintaining …

Negative gas adsorption transitions and pressure amplification phenomena in porous frameworks

S Krause, JD Evans, V Bon, I Senkovska… - Chemical Society …, 2025 - pubs.rsc.org
Nanoporous solids offer a wide range of functionalities for industrial, environmental, and
energy applications. However, only a limited number of porous materials are responsive, ie …