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- Chi-Hang Lam, Chun-Kin Lee, Leonard M Sander
- Physical review letters
- 2002

We study the morphological evolution of strained heteroepitaxial films using kinetic Monte Carlo simulations in two dimensions. A novel Green's function approach, analogous to boundary integral methods, is used to calculate elastic energies efficiently. We observe island formation at low lattice misfit and high temperature that is consistent with the… (More)

- Zhaohui Yang, Yoshihisa Fujii, Fuk Kay Lee, Chi-Hang Lam, Ophelia K C Tsui
- Science
- 2010

Most polymers solidify into a glassy amorphous state, accompanied by a rapid increase in the viscosity when cooled below the glass transition temperature (T(g)). There is an ongoing debate on whether the T(g) changes with decreasing polymer film thickness and on the origin of the changes. We measured the viscosity of unentangled, short-chain polystyrene… (More)

- Chi-Hang Lam
- 1998

We study a feed-forward neural network for two independent function approximation tasks. Upon training, two modules are automatically formed in the hidden layers, each handling one of the tasks predominantly. We demonstrate that the sizes of the modules can be dynamically driven by varying the complexities of the tasks. The network serves as a simple… (More)

- Chi-Hang Lam, F. G. Shin
- 1998

We propose a spatial discretization of the Kardar-Parisi-Zhang ~KPZ! equation in 111 dimensions. The exact steady state probability distribution of the resulting discrete surfaces is explained. The effective diffusion coefficient, nonlinearity, and noise strength can be extracted from three correlators, and are shown to agree exactly with the nominal values… (More)

- M T Lung, Chi-Hang Lam, Leonard M Sander
- Physical review letters
- 2005

We study the morphological evolution of strained heteroepitaxial films using a kinetic Monte Carlo method in three dimensions. The elastic part of the problem uses a Green's function method. Isolated islands are observed under deposition conditions for deposition rates slow compared with intrinsic surface roughening rates. They are hemispherical and… (More)

- Chi-Hang Lam
- Physical review. E, Statistical, nonlinear, and…
- 2010

A solid-on-solid model is generalized to study the formation of Ge pyramid islands bounded by (105) facets on Si(100) substrates in two dimensions. Each atomic column is not only characterized by the local surface height but also by two deformation state variables dictating the local surface tilt and vertical extension. These local deformations… (More)

- Chi-Hang Lam, M. T. Lung, Leonard M. Sander
- J. Sci. Comput.
- 2008

Accelerated algorithms for simulating the morphological evolution of strained heteroepitaxy based on a ball and spring lattice model in three dimensions are explained. We derive exact Green’s function formalisms for boundary values in the associated lattice elasticity problems. The computational efficiency is further enhanced by using a superparticle… (More)

the surface fluctuations Zhaohui Yang, Chi-Hang Lam, Elaine DiMasi, Nathalie Bouet, Jean Jordan-Sweet, and Ophelia K. C. Tsui Department of Physics, Boston University, Boston, Massachusetts 02215, USA Department of Applied Physics, Hong Kong Polytechnic University, Hung Hom, Hong Kong National Synchrotron Light Source, Brookhaven National Laboratory, Upton,… (More)

- L A Braunstein, Chi-Hang Lam
- Physical review. E, Statistical, nonlinear, and…
- 2005

A competitive growth model (CGM) describes the aggregation of a single type of particle under two different growth rules with occurrence probabilities p and 1-p . We explain the origin of the scaling behavior of the resulting surface roughness at small p for two CGM's which describe random deposition (RD) competing with ballistic deposition and RD competing… (More)

- Chi-Hang Lam
- 1998

The Kardar-Parisi-Zhang ~KPZ! equation @1# has been very successful in describing a class of dynamic nonlinear phenomena. It is applied to a wide range of topics including vapor deposition, bacterial colony growth, directed polymers, and flux lines in superconductors @2,3#. Computational studies have mostly concentrated on simulations of discrete models… (More)