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 …
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 …
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 …
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 …
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 …
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 …
Autonomous discovery in the chemical sciences part I: Progress
This two‐part Review examines how automation has contributed to different aspects of
discovery in the chemical sciences. In this first part, we describe a classification for …
discovery in the chemical sciences. In this first part, we describe a classification for …
Exceptional hydrogen storage achieved by screening nearly half a million metal-organic frameworks
Few hydrogen adsorbents balance high usable volumetric and gravimetric capacities.
Although metal-organic frameworks (MOFs) have recently demonstrated progress in closing …
Although metal-organic frameworks (MOFs) have recently demonstrated progress in closing …