2012
DOI: 10.1021/ct200787v
|View full text |Cite
|
Sign up to set email alerts
|

High-Throughput Characterization of Porous Materials Using Graphics Processing Units

Abstract: ABSTRACT:We have developed a high-throughput graphics processing unit (GPU) code that can characterize a large database of crystalline porous materials. In our algorithm, the GPU is utilized to accelerate energy grid calculations, where the grid values represent interactions (i.e., Lennard-Jones + Coulomb potentials) between gas molecules (i.e., CH 4 and CO 2 ) and materials' framework atoms. Using a parallel flood fill central processing unit (CPU) algorithm, inaccessible regions inside the framework structur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
73
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
6
1

Relationship

5
2

Authors

Journals

citations
Cited by 61 publications
(73 citation statements)
references
References 43 publications
0
73
0
Order By: Relevance
“…For the adsorption part, we use existing computational methods based on GPUs. 12 The methodology used to compute the diffusion coefficients described in the Methods section has been implemented for this work. We have selected a set of representative experimental zeolite structures from the IZA database to test our method.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…For the adsorption part, we use existing computational methods based on GPUs. 12 The methodology used to compute the diffusion coefficients described in the Methods section has been implemented for this work. We have selected a set of representative experimental zeolite structures from the IZA database to test our method.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…The choice of the 15k B T cutoff was made such that energy values higher would be considered inaccessible during a typical experimental time scale. 12 The binary information (i.e., accessible/inaccessible) stored in a separate grid can be used to determine both the number of the channels and the channel direction. For example, in determining the number of channels along a given spatial direction (e.g., x direction), a twodimensional flood fill algorithm at x = 0 along the y,z plane is used to combine the adjacent accessible points together.…”
Section: ■ Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Cutting-edge computational tools were employed, including a DFT-based quantum-chemical implicit solvent formalism 13 for the liquid solvents and a recently developed, highly efficient sorption code 26,27 for the zeolites that employs classical force fields with well-validated parameter sets. Two specific application areas were targeted, that is, concentrating methane from a medium-concentration source to a high concentration (for example, purifying a low-quality natural gas) and concentrating a very dilute methane stream into one of the moderate concentrations (for example, enabling energy production from coal-mine ventilation air).…”
Section: Discussionmentioning
confidence: 99%
“…The Henry's constant and the pure component adsorption isotherms for CO 2 , CH 4 and N 2 gas molecules were computed using our highly efficient graphics processing unit code 26,27 , and the Ideal Adsorbed Solution Theory was then applied to estimate the mixture component uptake to reproduce the aforementioned conditions relevant to methane separations 39 . In our simulations, all interactions between gas molecules and the zeolite framework were described at the classical force field level with atomic partial charges (for Coulombic interactions) and 12-6 Lennard-Jones parameters (for van der Waals interactions) taken from Garcia-Perez et al 40 The framework was assumed to be rigid throughout the simulations, an assumption that is considered to be reasonable in zeolite structures 41 .…”
Section: Methodsmentioning
confidence: 99%