Hydrogen adsorption capacities of multi-walled boron nitride nanotubes and nanotube arrays: a grand canonical Monte Carlo study

2011 ◽  
Vol 18 (7) ◽  
pp. 2981-2991 ◽  
Author(s):  
Zohreh Ahadi ◽  
Muhammad Shadman ◽  
Saeed Yeganegi ◽  
Farid Asgari
2020 ◽  
Vol 6 (2) ◽  
pp. 20
Author(s):  
Maxim N. Popov ◽  
Thomas Dengg ◽  
Dominik Gehringer ◽  
David Holec

In this paper, we report the results of hydrogen adsorption properties of a new 2D carbon-based material, consisting of pentagons and octagons (Penta-Octa-Penta-graphene or POP-graphene), based on the Grand-Canonical Monte Carlo simulations. The new material exhibits a moderately higher gravimetric uptake at cryogenic temperatures (77 K), as compared to the regular graphene. We discuss the origin of the enhanced uptake of POP-graphene and offer a consistent explanation.


2007 ◽  
Vol 32 (15) ◽  
pp. 3402-3405 ◽  
Author(s):  
Jinrong Cheng ◽  
Libo Zhang ◽  
Rui Ding ◽  
Zhenfeng Ding ◽  
Xiao Wang ◽  
...  

Carbon ◽  
2011 ◽  
Vol 49 (8) ◽  
pp. 2715-2724 ◽  
Author(s):  
A. Gotzias ◽  
H. Heiberg-Andersen ◽  
M. Kainourgiakis ◽  
Th. Steriotis

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Xiuying Liu ◽  
Jie He ◽  
Rui Li

The adsorption of hydrogen molecules on different zeolites at near room temperature and extremely high pressures has been simulated employing Grand Canonical Monte Carlo (GCMC) method. Some important physical amounts under different temperatures and pressures, such as adsorption isotherms, adsorption amounts, and isosteric heats were studied. We predict the storage capacity of hydrogen in ZON and CHA zeolites at different conditions. The results show that the hydrogen storage capacity of CHA is superior to that of ZON. The different hydrogen adsorption behavior between them is explained by the isosteric heats of adsorption at different temperatures. These results may help us to understand different hydrogen adsorption properties of these two zeolites, thus facilitate exploring new hydrogen storage candidates experimentally.


2016 ◽  
Vol 18 (5) ◽  
pp. 4112-4120 ◽  
Author(s):  
Mahshid Rahimi ◽  
Jayant K. Singh ◽  
Florian Müller-Plathe

The selectivity value is found here to range from 4 to 16, indicating that the optimization of pore size tuning can increase it by 4 times.


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