Hyojoon Kim, Ph. D.
Department of Chemistry & Biochemistry, A5300
University of Texas at Austin
Austin, Texas 78712
Tel: 1-512-471-4892
Fax: 1-512-471-1624
Email: [email protected]
Homepage:
http://www.geocities.com/kim_hyojoon
¡¡
Mar. 2001 ~ Present:
Postdoctoral Researcher at
University of Texas at Austin, Austin,
Texas, USA
Mar. 2000 ~ Feb. 2001:
Brain Korea 21 Postdoctoral Fellow at Seoul National
University, Seoul, Korea
Mar. 2000 ~ Aug. 2000:
Lecturer of "General Chemistry" at Soongsil
University, Seoul, Korea
Lecturer of "Physical Chemistry" at Seoul National University,
Seoul, Korea
Mar. 1995 ~ Feb. 1996, Mar. 1997 ~ Aug. 1998:
Teaching assistant of "Introductory Chemistry" and
"Statistical Mechanics" at Seoul National University, Seoul,
Korea.
Brain Korea 21 Award for
Excellent Ph. D. Students (1999)
Aug. 1996 ~ Feb. 2000:
Internet Manager at Inter-University Center for Natural
Science Research Facilities
Web manager of Center for Molecular Catalysis. (1996)
Until now I have published 13 papers mostly as the first and main author. The complete list is at http://www.geocities.com/kim_hyojoon/pub.html
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I have worked in two fields: diffusion-reaction field and
quantum-classical field.
The
followings are the results of my works. (The number in the square
bracket means the number in the publication page.)
Quantum-Classical field
One of the long-standing problem in physics and chemistry is the full quantum mechanical calculation of dynamical properties in highly quantum liquids. Since the direct calculation of time-correlation functions in these condensed phase systems is numerically impossible, the reliable method of calculating quantum effects using classical or mixed quantum-classical data has long been sought but of little success. By finding the relationship between the quantum and the classical correlation function, I suggest a very promising method [12] to get the quantum result only from the classical data. The results of applications to a few well-known systems [14] are proven to be surprisingly good.
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Diffusion-Reaction field
Analytical part: exact solutions
Theoreticians usually compete with each other to elucidate a certain system
more and more correctly. However, what happens if someone finds the exact
solution? Yes, it means the game is over because the exact solution is the
ultimate goal. This is why the finding of an exact solution is regarded as a
high value. I am the first to find the exact analytical fundamental solutions or
Green functions in the following systems:
An isolated pair which reacts reversibly in three dimensions [4]
Excited-state geminate recombination with quenching in one dimension [7]
Reversible trapping problem in one dimension [9]
Reversible isolated pair under an external constant field
[11]
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Computational part: algorithmic development
Efficient Brownian dynamics simulations: Normal Brownian dynamics simulation is widely used in many kinds of research fields. But it considers only the free diffusive motion. When the system has a reaction or even a reflecting wall, the correlation between the diffusive motion and the reaction makes the time step be very small. If you are interested in the very long time behavior this obstacle is critical even with the current growing power of computer. The efficient Brownian dynamics simulation method incorporating the exact solution of a reactive pair [5,6] is developed in order to enable us to use much larger time step and therefore reduce the computing time greatly. I am the first to develop the efficient Brownian dynamics simulation in three dimensions. [6]
Monte Carlo simulations: Conventional Monte Carlo simulation is usually used for finding quantities in the steady-state or the equilibrium state. For the studies for non-equilibrium phenomena, the lattice based random walk simulation is very useful [1,8] since it is simple and flexible method. I developed some techniques to reduce the computing time. [1]
Numerical methods: Since analytical solutions are rare in the diffusion-reaction field, one has to rely on numerical techniques. I developed the efficient numerical method to solve coupled partial differential equations. [2,3] For studying the long time behavior numerically, the main difficulty arises from implementing the outer boundary conditions which needs to be extended to infinity but cannot. I introduced the boundary doubling method to reduce this truncation error very effectively.
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Nationality: Korean
Hometown: Pusan, Korea
Marital Status: single
Visa Status: J-1
Name:
(in Korean) ±è, È¿ÁØ
(in Chinese Character) ÑÑ, üøñ×
(in English) Kim, Hyojoon
Pronunciation: ho(tel)-june-kim,
If you have a difficulty in
pronouncing hyo, just call me jun(e).
Computer Skills
Simulation: Molecular dynamics, Brownian dynamics, Monte Carlo
Parallel Programming: MPI
Web developer: CGI, HTML, Javascript
Languages: C, C++, Fortran, Basic, Pascal
Scientific Package: Gaussian, CHARMM, DL_POLY
OS: Microsoft Windows, Linux/Unix
¡¡
Professor Peter J. Rossky
Marvin K. Collie-Welch Regents Chair in Chemistry
Director, Institute for Theoretical Chemistry
Department of Chemistry and Biochemistry
University of Texas at Austin, A5300
Austin, Texas 78731
Tel: 1-512-471-3555
FAX: 1-512-471-1624
Email: [email protected]
Homepage:
http://www.cm.utexas.edu/faculty/Rossky.html
Professor Kook Joe Shin
School of Chemistry¡¡
Seoul National University
Seoul 151-747, Korea
Tel: +82-2-880-6654
Email: [email protected]
Homepage: http://chem3.snu.ac.kr/~chemweb/faculty/shinkjen.htm
Professor Sangyoub Lee
School of Chemistry¡¡
Seoul National University
Seoul 151-747, Korea
Tel: 82-2-875-4887
Email: [email protected]
Homepage: http://chem1.snu.ac.kr/~sangyoub/leesyeng.htm
Associate Professor Seokmin Shin
School of Chemistry¡¡
Seoul National University
Seoul 151-747, Korea
Tel: 82-2-880-6639
Email: [email protected]
Homepage:
http://dycube.snu.ac.kr/English/professor.html
Last Updated: 2002-11-19