My Favorate Links

Self-assembling nanostructure:

• Suo Group at Harvard University
• Lu Group at University of Michigan
• Brian Spencer at University of Baffalo
• Peter Alexander Greaney at University of California, Berkeley
• Michael R. Zachariah at University of Maryland
• Walgraef Daniel's personal home-page
• Linear Elasticity
• Nanoscience and nanotechnologies: opportunities and uncertainties

Pattern formation:

• Spatiotemporal Dynamics and Pattern Formation A Course by Roman Grigoriev at Georgia Institute of Technology
• Michael Cross at California Institute of Technology
• Complexity A Course by Rajesh R. Parwani at National University of Singapore
• Guenter Ahlers at University of California, Santa Barbara
• Pattern Formation in Nonequilibrium Systems A Course by Stephen W. Morris at University of Toronto
• Pattern Formation in Faraday Waves Ron Lifshitz at California Institute of Technology
• Pattern Formation in Large Domains 2005 Workshops at Isaac Newton Institute for Mathematical Sciences
• Non-Equilibrium Pattern Formation Wim van Saarloos at Universiteit Leiden
• Pattern Formation Notebook of Cosma Rohilla Shalizi
• Spatiotemporal chaos in Rayleigh-Benard convection Keng-Hwee Chiam's Doctoral Thesis
• Focus on Pattern Formation New Journal of Physics, 5, 2003
• Spontaneous Pattern Formation in Fluids APS Centenial Meeting
• Nonlinear and Complex Systems A course by Henry Greenside at Duke University
• Eberhard Bodenschatz at Cornell University
• Nonlinear Links
• Pattern Formation and Spatially Extended Dynamical Systems Hermann Riecke at Northwestern University
• Jorge Vinas at McGill University
• Rayleigh-Benard Convection
• Center for Nonlinear Dynamics at University of Texas at Austin
• Hermann Riecke at Northwestern University
• Lingfa Yang at Brandeis University
• Paul Matthews at University of Nottingham
• Pattern formation directory
• Pattern formation preprint archive

Physical links:

• Eric W. Weisstein's world of physics
• Classical Mechanics

Mathematical links:

• Mathworld
• Partial Differential Equations
• Fourier Analysis for Beginners

Computational resource:

• Numerical Recipes in C
• Matlab
• C Functions
• Programming in C
• Scientific Computing
• Trefethen numerical ODE/PDE textbook
• Pseudospectral Methods