Challenges to develo** materials for the transport and storage of hydrogen

MD Allendorf, V Stavila, JL Snider, M Witman… - Nature …, 2022 - nature.com
Hydrogen has the highest gravimetric energy density of any energy carrier and produces
water as the only oxidation product, making it extremely attractive for both transportation and …

[HTML][HTML] Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

H Demir, H Daglar, HC Gulbalkan, GO Aksu… - Coordination Chemistry …, 2023 - Elsevier
The reticular chemistry of metal–organic frameworks (MOFs) allows for the generation of an
almost boundless number of materials some of which can be a substitute for the traditionally …

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 …

A review on current trends in potential use of metal-organic framework for hydrogen storage

SP Shet, SS Priya, K Sudhakar, M Tahir - International Journal of Hydrogen …, 2021 - Elsevier
Hydrogen can be a promising clean energy carrier for the replenishment of non-renewable
fossil fuels. The set back of hydrogen as an alternative fuel is due to its difficulties in feasible …

[HTML][HTML] Recent developments in state-of-the-art hydrogen energy technologies–review of hydrogen storage materials

R Nagar, S Srivastava, SL Hudson, SL Amaya… - Solar Compass, 2023 - Elsevier
Hydrogen energy has been assessed as a clean and renewable energy source for future
energy demand. For harnessing hydrogen energy to its fullest potential, storage is a key …

Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery

AS Rosen, SM Iyer, D Ray, Z Yao, A Aspuru-Guzik… - Matter, 2021 - cell.com
The modular nature of metal–organic frameworks (MOFs) enables synthetic control over
their physical and chemical properties, but it can be difficult to know which MOFs would be …

Big-data science in porous materials: materials genomics and machine learning

KM Jablonka, D Ongari, SM Moosavi, B Smit - Chemical reviews, 2020 - ACS Publications
By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

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 …

Recent progress using solid-state materials for hydrogen storage: a short review

SY Lee, JH Lee, YH Kim, JW Kim, KJ Lee, SJ Park - Processes, 2022 - mdpi.com
With the rapid growth in demand for effective and renewable energy, the hydrogen era has
begun. To meet commercial requirements, efficient hydrogen storage techniques are …

Machine learning meets with metal organic frameworks for gas storage and separation

C Altintas, OF Altundal, S Keskin… - Journal of Chemical …, 2021 - ACS Publications
The acceleration in design of new metal organic frameworks (MOFs) has led scientists to
focus on high-throughput computational screening (HTCS) methods to quickly assess the …