Recent development of metal-organic frameworks and their composites in electromagnetic wave absorption and shielding applications

K Wei, Y Shi, X Tan, M Shalash, R Ren… - Advances in Colloid and …, 2024 - Elsevier
With the rapid development of information and communication industries, the usage of
electromagnetic waves has caused the hazard of human health and misfunction of devices …

Efficient removal of greenhouse gases: machine learning-assisted exploration of metal–organic framework space

R **n, C Wang, Y Zhang, R Peng, R Li, J Wang… - ACS …, 2024 - ACS Publications
Global warming is a crisis that humanity must face together. With greenhouse gases (GHGs)
as the main factor causing global warming, the adoption of relevant processes to eliminate …

Construction of high accuracy machine learning interatomic potential for surface/interface of nanomaterials—A review

K Wan, J He, X Shi - Advanced Materials, 2024 - Wiley Online Library
The inherent discontinuity and unique dimensional attributes of nanomaterial surfaces and
interfaces bestow them with various exceptional properties. These properties, however, also …

Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks

H Mashhadimoslem, MA Abdol, P Karimi… - ACS …, 2024 - ACS Publications
Machine learning (ML) using data sets of atomic and molecular force fields (FFs) has made
significant progress and provided benefits in the fields of chemistry and material science …

MOFs-based materials for solid-state hydrogen storage: strategies and perspectives

Y Li, Q Guo, Z Ding, H Jiang, H Yang, W Du… - Chemical Engineering …, 2024 - Elsevier
Exceptionally porous crystals with ultrahigh adsorption capacities, metal–organic
frameworks (MOFs), have received recognition as leading candidates for the promotion of …

Different applications of machine learning approaches in materials science and engineering: Comprehensive review

Y Cao, AT Nakhjiri, M Ghadiri - Engineering Applications of Artificial …, 2024 - Elsevier
Over the last decades, considerable advancements in artificial intelligence (AI) approaches
have eventuated in their extensive applications in all scientific scopes such as materials …

Non-CO 2 greenhouse gas separation using advanced porous materials

YL Zhao, X Zhang, MZ Li, JR Li - Chemical Society Reviews, 2024 - pubs.rsc.org
Global warming has become a growing concern over decades, prompting numerous
research endeavours to reduce the carbon dioxide (CO2) emission, the major greenhouse …

Luminescent metal organic frameworks (LMOFs) and allied composites for the unveiling of organic environmental contaminants (explosive NACs, PAHs and EDCs) …

P Ghorai, U Mondal, A Hazra, P Banerjee - Coordination Chemistry …, 2024 - Elsevier
The class of functional materials centralized on luminescent metal–organic frameworks
(LMOFs) has recently been at the forefront of optical sensing. LMOFs exhibit fascinating …

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 …

Unconventional mechanical and thermal behaviours of MOF CALF-20

D Fan, S Naskar, G Maurin - Nature Communications, 2024 - nature.com
CALF-20 was recently identified as a benchmark sorbent for CO2 capture at the industrial
scale, however comprehensive atomistic insight into its mechanical/thermal properties under …