Progress and potential of metal-organic frameworks (MOFs) for gas storage and separation: A review

T Jia, Y Gu, F Li - Journal of Environmental Chemical Engineering, 2022 - Elsevier
Gas storage and separation plays the most critically vital role in the utilization of energy
resources and the petrochemical industry in modern society. The development of industry …

Potential applications of MOF composites as selective membranes for separation of gases

KG Liu, F Bigdeli, A Panjehpour, SH Jhung… - Coordination Chemistry …, 2023 - Elsevier
Gas separation, which involves extracting one or more gases from a gas mixture, is a crucial
technique in the chemical industry. Many separation techniques have been documented, but …

Boosting ethane/ethylene separation by MOFs through the amino‐functionalization of pores

GD Wang, R Krishna, YZ Li, WJ Shi, L Hou… - Angewandte …, 2022 - Wiley Online Library
Adsorption technology based on ethane‐selective materials is a promising alternative to
energy‐intensive cryogenic distillation for separating ethane (C2H6) and ethylene (C2H4) …

Construction of negative electrostatic pore environments in a scalable, stable and low‐cost metal‐organic framework for one‐step ethylene purification from ternary …

HM Wen, C Yu, M Liu, C Lin, B Zhao… - Angewandte Chemie …, 2023 - Wiley Online Library
One‐step separation of C2H4 from ternary C2 mixtures by physisorbents remains a
challenge to combine excellent separation performance with high stability, low cost, and …

Progress toward the computational discovery of new metal–organic framework adsorbents for energy applications

PZ Moghadam, YG Chung, RQ Snurr - Nature Energy, 2024 - nature.com
Metal–organic frameworks (MOFs) are a class of nanoporous material precisely synthesized
from molecular building blocks. MOFs could have a critical role in many energy …

Machine learning-assisted discovery of propane-selective metal–organic frameworks

Y Wang, ZJ Jiang, DR Wang, W Lu… - Journal of the American …, 2024 - ACS Publications
Machine learning is gaining momentum in the prediction and discovery of materials for
specific applications. Given the abundance of metal–organic frameworks (MOFs) …

One‐Step C2H4 Purification from Ternary C2H6/C2H4/C2H2 Mixtures by a Robust Metal–Organic Framework with Customized Pore Environment

GD Wang, YZ Li, WJ Shi, L Hou… - Angewandte Chemie …, 2022 - Wiley Online Library
One‐step C2H4 purification from ternary C2H6/C2H4/C2H2 mixtures by a single adsorbent
is of great industrial significance, but few adsorbents achieve this separation. Herein, we …

Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery

C Li, L Bao, Y Ji, Z Tian, M Cui, Y Shi, Z Zhao… - Coordination Chemistry …, 2024 - Elsevier
Abstract Machine learning (ML) is the science of making computers learn and behave like
humans, autonomously improving their learning by providing them with data and information …

Recent progress on porous MOFs for process-efficient hydrocarbon separation, luminescent sensing, and information encryption

D Zhao, K Yu, X Han, Y He, B Chen - Chemical Communications, 2022 - pubs.rsc.org
Metal–organic frameworks (MOFs), as an emerging class of porous materials, excel in
designability, regulatability, and modifiability in terms of their composition, topology, pore …