Jun Soo Kim

Prof. Dr. Jun Soo Kim

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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28 March 2017 in Organic Letters
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Journal Article
Closed access
TCTanmay Chatterjee
Tanmay Chatterjee
GRGeum-Bee Roh
Geum-Bee Roh
MSMahbubul Alam Shoaib
Mahbubul Alam Shoaib
CSChang-Heon Suhl
Chang-Heon Suhl
JKJun Soo Kim
Jun Soo Kim
ECEun Jin Cho
Eun Jin Cho

15 December 2016 in The Journal of Physical Chemistry B
Verified
Journal Article
Closed access
YKYunwon Kang
Yunwon Kang
HJHeesun Joo
Heesun Joo
JKJun Soo Kim
Jun Soo Kim

4 February 2019 in The Journal of Physical Chemistry A
Verified
Journal Article
Closed access
MKMinjung Kim
Minjung Kim
EKEunji Kim
Eunji Kim
SLSeunghoon Lee
Seunghoon Lee
JKJun Soo Kim
Jun Soo Kim
SLSangyoub Lee
Sangyoub Lee


15 June 2017 in The Journal of Organic Chemistry
Verified
Journal Article
Closed access
CYChunghyeon Yu
Chunghyeon Yu
MSMahbubul Alam Shoaib
Mahbubul Alam Shoaib
NINaeem Iqbal
Naeem Iqbal
JKJun Soo Kim
Jun Soo Kim
HHHyun-Joon Ha
Hyun-Joon Ha
ECEun Jin Cho
Eun Jin Cho

11 September 2020 in Polymers
Verified
Journal Article
Open access
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HCHyun Woo Cho
Hyun Woo Cho
HKHaein Kim
Haein Kim
BSBong June Sung
Bong June Sung
JKJun Soo Kim
Jun Soo Kim
We report Brownian dynamics simulations of tracer diffusion in regularly crosslinked polymer networks in order to elucidate the transport of a tracer particle in polymer networks. The average mesh size of homogeneous polymer networks is varied by assuming different degrees of crosslinking or swelling, and the size of a tracer particle is comparable to the average mesh size. Simulation results show subdiffusion of a tracer particle at intermediate time scales and normal diffusion at long times. In particular, the duration of subdiffusion is significantly prolonged as the average mesh size decreases with increasing degree of crosslinking, for which long-time diffusion occurs via the hopping processes of a tracer particle after undergoing rattling motions within a cage of the network mesh for an extended period of time. On the other hand, the cage dynamics and hopping process are less pronounced as the mesh size decreases with increasing polymer volume fractions. The interpretation is provided in terms of fluctuations in network mesh size: at higher polymer volume fractions, the network fluctuations are large enough to allow for collective, structural changes of network meshes, so that a tracer particle can escape from the cage, whereas, at lower volume fractions, the fluctuations are so small that a tracer particle remains trapped within the cage for a significant period of time before making infrequent jumps out of the cage. This work suggests that fluctuation in mesh size, as well as average mesh size itself, plays an important role in determining the dynamics of molecules and nanoparticles that are embedded in tightly meshed polymer networks.