Computational Materials Science2022,Vol.2098.DOI:10.1016/j.commatsci.2022.111409

Pore size distribution of carbon black: An approach from a coarse-grained potential

Velez, Patricio Luque, Guillermina L. Barraco, Daniel E. Franco, Alejandro A. Leiva, Ezequiel P. M.
Computational Materials Science2022,Vol.2098.DOI:10.1016/j.commatsci.2022.111409

Pore size distribution of carbon black: An approach from a coarse-grained potential

Velez, Patricio 1Luque, Guillermina L. 1Barraco, Daniel E. 1Franco, Alejandro A. 2Leiva, Ezequiel P. M.1
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作者信息

  • 1. Univ Nacl Cordoba
  • 2. Univ Picardie Jules Verne
  • 折叠

Abstract

We present a coarse-grained carbon black model consisting of nanoparticles with sizes comparable to that found in experimental samples. The parameters of the interaction potential are estimated from surface energy values. The relaxed geometry of the systems is obtained by simulated annealing. The pore size distribution (PSD) of the calculated porous materials is presented. The results of the simulations are in good agreement with PSD obtained from experimental measurements reported in the literature. This work paves the way towards realistic micro structural models of carbonaceous porous materials.

Key words

Pore size distribution/Carbon black/Coarse-grained potential/DENSITY-FUNCTIONAL THEORY/POROUS CARBONS/ADSORPTION/SIMULATION/MODEL/PERFORMANCE/BATTERIES/BINDER/CELL

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量1
参考文献量61
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