2005 Annual Report Vol.33 - 中研院物理研究所 - Academia Sinica
2005 Annual Report Vol.33 - 中研院物理研究所 - Academia Sinica
2005 Annual Report Vol.33 - 中研院物理研究所 - Academia Sinica
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esearch of SCP in developing countries. The research topics at LSCP include: equilibrium<br />
critical systems, such as the Ising, dimer, and percolation models; non-equilibrium critical<br />
systems, such as sand-pile and avalanche models; synchronization in nonlinear coupled<br />
systems and analysis of physiological data; models of biological evolution; analytic and<br />
numerical studies of macromolecules, polymer, DNA, RNA, and proteins; stochastic<br />
dynamic model for stock-stock correlations; universality and scaling in statistical data of<br />
literary works. (Chin-Kun Hu, Simon C. Lin)<br />
Exact phase diagram for an asymmetric avalanche process,<br />
which shows the critical density of particles ρas a function of<br />
parameters α and μ of toppling rules in the model. This<br />
figure is taken from Phys. Rev. Lett. 87, 084301(2001)<br />
IV. Biology-Inspired Physics<br />
Biological organisms are likely the most complex and the least understood systems that<br />
one can imagine, due to their intricate biochemical and physical interactions among<br />
macromolecules. Biology is essentially an experimental science with huge amount of data,<br />
physicists hope to distill basic principles from them. Because all biological processes<br />
operate in a thermal environment, statistical physics is an indispensable tool in studying<br />
them. Equipped with such tools, we have been studying theoretically: biological and<br />
physiological signals (such as heart beat); development of algorithms and simulations of<br />
macromolecules (DNA, RNA and proteins) with parallel computers (Chin-Kun Hu),<br />
development of new optimization algorithms to study complex systems including protein<br />
structure prediction (Ting-Kuo Lee); and collective behavior of self-propelled particles<br />
manifested in flocking models (Kwan-tai Leung). Moreover, Experimental studies on<br />
synchronized firing of neural net has also been carried out (Chi-Keung Chan).<br />
Breakdown of protein structure due to increasing side chains interaction