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Hysteresis, Avalanches, and Noise
Found in: Computing in Science and Engineering
By Matthew C. Kuntz, Olga Perkovic, Karin A. Dahmen, Bruce W. Roberts, James P. Sethna
Issue Date:July 1999
pp. 73-81
As computers increase in speed and memory, scientists are inevitably led to simulate more complex systems over larger time and length scales. Although a simple, straightforward algorithm is often the most efficient for small systems, especially when the ti...
 
Python for Education: Computational Methods for Nonlinear Systems
Found in: Computing in Science and Engineering
By Christopher R. Myers, James P. Sethna
Issue Date:May 2007
pp. 75-79
Our interdisciplinary computational methods course uses Python and associated numerical and visualization libraries to enable students to implement simulations for several different course modules, which highlight the breadth and flexibility of Python-powe...
 
Python Unleashed on Systems Biology
Found in: Computing in Science and Engineering
By Christopher R. Myers, Ryan N. Gutenkunst, James P. Sethna
Issue Date:May 2007
pp. 34-37
Researchers at Cornell University have built an open source software system to model biomolecular reaction networks. SloppyCell is written in Python and uses third-party libraries extensively, but it also does some fun things with on-the-fly code generatio...
 
Is Dislocation Flow Turbulent in Deformed Crystals?
Found in: Computing in Science and Engineering
By Woosong Choi,Yong S. Chen,Stefanos Papanikolaou,James P. Sethna
Issue Date:January 2012
pp. 33-39
Intriguing analogies were found between a model of plastic deformation in crystals and turbulence in fluids. A study of this model provides remarkable explanations of known experiments and predicts fractal dislocation pattern formation. Further, the challe...
 
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