Coray M. Colina

Coray M. Colina

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Coray M. Colina

Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 May 2018 in Chemical Reviews
Verified
Journal Article
Closed access
GKGrit Kupgan
Grit Kupgan
LALauren J. Abbott
Lauren J. Abbott
Kyle HartKyle Hart
Kyle Hart
CCCoray M. Colina
Coray M. Colina

22 August 2017 in Langmuir
Verified
Journal Article
Open access
GKGrit Kupgan
Grit Kupgan
TLThilanga P. Liyana-Arachchi
Thilanga P. Liyana-Arachchi
CCCoray M. Colina
Coray M. Colina
The pore size distribution (PSD) is one of the most important properties when characterizing and designing materials for gas storage and separation applications. Experimentally, one of the current standards for determining microscopic PSD is using indirect molecular adsorption methods such as nonlocal density functional theory (NLDFT) and N2 isotherms at 77 K. Because determining the PSD from NLDFT is an indirect method, the validation can be a nontrivial task for amorphous microporous materials. This is especially crucial since this method is known to produce artifacts. In this work, the accuracy of NLDFT PSD was compared against the exact geometric PSD for 11 different simulated amorphous microporous materials. The geometric surface area and micropore volumes of these materials were between 5 and 1698 m2/g and 0.039 and 0.55 cm3/g, respectively. N2 isotherms at 77 K were constructed using Gibbs ensemble Monte Carlo (GEMC) simulations. Our results show that the discrepancies between NLDFT and geometric PSD are significant. NLDFT PSD produced several artificial gaps and peaks that were further confirmed by the coordinates of inserted particles of a specific size. We found that dominant peaks from NLDFT typically reported in the literature do not necessarily represent the truly dominant pore size within the system. The confirmation provides concrete evidence for artifacts that arise from the NLDFT method. Furthermore, a sensitivity analysis was performed to show the high dependency of PSD as a function of the regularization parameter, λ. A higher value of λ produced a broader and smoother PSD that closely resembles geometric PSD. As an alternative, a new criterion for choosing λ, called here the smooth-shift method (SSNLDFT), is proposed that tuned the NLDFT PSD to better match the true geometric PSD. Using the geometric pore size distribution as our reference, the smooth-shift method reduced the root-mean-square deviation by ∼70% when the geometric surface area of the material is greater than 100 m2/g.

23 May 2018 in Journal of Materials Chemistry A
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Journal Article
Open access
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CBC. Grazia Bezzu
C. Grazia Bezzu
Mariolino CartaMariolino Carta
Mariolino Carta
MFMaria-Chiara Ferrari
Maria-Chiara Ferrari
Johannes Carolus JansenJohannes Carolus Jansen
Johannes Carolus Jansen
Marcello MonteleoneMarcello Monteleone
Marcello Monteleone
NMNeil B. McKeown
Neil B. McKeown
Membranes composed of Polymers of Intrinsic Microporosity (SBF-PIMs) have potential for commercial gas separation. Here we report a combined simulation and experimental study to investigate the effect on polymer microporosity and gas permeability by placing simple substituents such as methyl, t-butyl and fused benzo groups onto PIMs derived from spirobifluorene (PIM-SBFs). It is shown that methyl or t-butyl substituents both cause a large increase in gas permeabilities with four methyl groups enhancing the concentration of ultramicropores (1.0 nm). Long-term ageing studies (>3.5 years) demonstrate the potential of PIM-SBFs as high-performance membrane materials for gas separations. In particular, the data for the PIM derived from tetramethyl substituted SBF reaches the proposed 2015 Robeson upper bound for O2/N2 and, hence, hold promise for the oxygen or nitrogen enrichment of air. Mixed gas permeation measurements for CO2/CH4 of the aged PIM-SBFs also demonstrate their potential for natural gas or biogas upgrading.

23 July 2021 in Science Advances
Verified
Journal Article
Open access
YSYangzesheng Sun
Yangzesheng Sun
RDRobert F. DeJaco
Robert F. DeJaco
ZLZhao Li
Zhao Li
DTDai Tang
Dai Tang
SGStephan Glante
Stephan Glante
JSJ. Ilja Siepmann
J. Ilja Siepmann
A meta-learning model predicts the optimal hydrogen storage conditions and selects from a diverse set of nanoporous materials.

1 November 2018 in Journal of Membrane Science
Verified
Journal Article
Closed access
GKGrit Kupgan
Grit Kupgan
ADAlexander G. Demidov
Alexander G. Demidov
CCCoray M. Colina
Coray M. Colina

20 December 2021 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
ZYZhenzi Yu
Zhenzi Yu
DADylan M. Anstine
Dylan M. Anstine
SBSalah Eddine Boulfelfel
Salah Eddine Boulfelfel
CGChenkai Gu
Chenkai Gu
CCCoray M. Colina
Coray M. Colina
DSDavid S. Sholl
David S. Sholl