
|
My current research aims at theoretically modeling and understanding the non-equilibrium, nonlinear phenomena in complex dynamical systems, with emphasis on the formation and evolution of nano-patterns in both "soft" and "hard" advanced materials, as well as the mesoscopic description of structure, dynamics, and response of nanoscale phases. The rationale behind our mesoscopic-level modeling is that the characteristic spatial and temporal scales of structural evolution in materials of nano-phases are far beyond the individual molecular or atomic dimension, and hence mesoscopic, coarsed-grained approaches as well as continuum (and/or hydrodynamic) description can be developed to well account for the complex phase behavior; on the other hand, phenomena in the mesoscopic range, albeit widely encountered in material systems, are still poorly understood, especially in the quantitative level.
The other aspect of my research involves the application of statistical and computational physics to addressing some fundamental issues in biological science, with particular attention paid to the problem of biological aging. This research is motivated by results of human demography and experiments of other living organisms conducted for longevity studies, and aims at understanding the senescence phenomena and the age-structured population dynamics through the combination of genetic/nongenetic mechanisms and computational methods such as bit-string modeling and Monte Carlo simulation. |