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Challenges to develo** materials for the transport and storage of hydrogen
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
begun. To meet commercial requirements, efficient hydrogen storage techniques are …
Machine learning meets with metal organic frameworks for gas storage and separation
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 …
focus on high-throughput computational screening (HTCS) methods to quickly assess the …