Kevin R. Hinkle

Dr. Kevin R. Hinkle

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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31 October 2013 in Small
Verified
Journal Article
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KGKeliang Gao
Keliang Gao
LLLei Li
Lei Li
LHLingna He
Lingna He
KHKevin R. Hinkle
Kevin R. Hinkle
YWYun Wu
Yun Wu
LLL. James Lee
L. James Lee

11 November 2016 in The Journal of Physical Chemistry C
Verified
Journal Article
Closed access
ZXZhi Xu
Zhi Xu
IMIoannis Michos
Ioannis Michos
ZCZishu Cao
Zishu Cao
WJWenheng Jing
Wenheng Jing
XGXuehong Gu
Xuehong Gu
JDJunhang Dong
Junhang Dong

23 September 2014 in The Journal of Physical Chemistry C
Verified
Journal Article
Closed access
KHKevin R. Hinkle
Kevin R. Hinkle
CJCynthia J. Jameson
Cynthia J. Jameson
SMSohail Murad
Sohail Murad

1 May 2015 in Current Opinion in Chemical Engineering
Verified
Journal Article
Closed access
JDJunhang Dong
Junhang Dong
ZXZhi Xu
Zhi Xu
SYShaowei Yang
Shaowei Yang
SMSohail Murad
Sohail Murad
KHKevin R. Hinkle
Kevin R. Hinkle

9 August 2018 in Processes
Verified
Journal Article
Open access
PDF file
KHKevin R. Hinkle
Kevin R. Hinkle
XWXiaoyu Wang
Xiaoyu Wang
XGXuehong Gu
Xuehong Gu
CJCynthia J. Jameson
Cynthia J. Jameson
SMSohail Murad
Sohail Murad
In this report we have discussed the important role of molecular modeling, especially the use of the molecular dynamics method, in investigating transport processes in nanoporous materials such as membranes. With the availability of high performance computers, molecular modeling can now be used to study rather complex systems at a fraction of the cost or time requirements of experimental studies. Molecular modeling techniques have the advantage of being able to access spatial and temporal resolution which are difficult to reach in experimental studies. For example, sub-Angstrom level spatial resolution is very accessible as is sub-femtosecond temporal resolution. Due to these advantages, simulation can play two important roles: Firstly because of the increased spatial and temporal resolution, it can help understand phenomena not well understood. As an example, we discuss the study of reverse osmosis processes. Before simulations were used it was thought the separation of water from salt was purely a coulombic phenomenon. However, by applying molecular simulation techniques, it was clearly demonstrated that the solvation of ions made the separation in effect a steric separation and it was the flux which was strongly affected by the coulombic interactions between water and the membrane surface. Additionally, because of their relatively low cost and quick turnaround (by using multiple processor systems now increasingly available) simulations can be a useful screening tool to identify membranes for a potential application. To this end, we have described our studies in determining the most suitable zeolite membrane for redox flow battery applications. As computing facilities become more widely available and new computational methods are developed, we believe molecular modeling will become a key tool in the study of transport processes in nanoporous materials.