Computational Mechanics has been used to analyze experimental physical systems, including:
- Crystallography
- Dripping faucet
- Atmospheric turbulence
- Geomagnetic data
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Richard W. Clarke, Mervyn P. Freeman and Nicholas W. Watkins, "The Application of Computational Mechanics to the Analysis of Geomagnetic Data", Phys. Rev. E 67 (2003) 160-203.
- Molecular systems
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D. Nerukh, G. Karvounis and R. C. Glen, "Complexity of classical dynamics of molecular systems. I. Methodology",
J. Chem. Phys. 117 (2002) 9611-9617.
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D. Nerukh, G. Karvounis and R. C. Glen, "Complexity of classical dynamics of molecular systems. II. Finite Statistical
complexity of water-Na+ system", J. Chem. Phys. 117 (2002) 9618-9622.
Computational mechanics has also been used to analyze structural complexity in a number of nonlinear processes:
- Cellular Automata
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J. E. Hanson and J. P. Crutchfield, "Computational Mechanics of Cellular Automata: An Example",
Physica D 103 (1997) 169--189.
[Abstract] [ps.gz]
Santa Fe Institute Working Paper
95-10-95.
- One-dimensional maps
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J. P. Crutchfield and K. Young,
"Inferring Statistical Complexity", Physical Review Letters 63
(1989) 105-108.
[Abstract]
[zipped pdf] [pdf]
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J. P. Crutchfield and K. Young, "Computation at the Onset of Chaos", in Entropy, Complexity, and Physics of Information, W. Zurek, editor,
SFI Studies in the Sciences of Complexity, VIII, Addison-Wesley, Reading, Massachusetts (1990) 223-269.
[Abstract]
[ps.gz]
[ps]
[pdf]
- One-dimensional Ising model
- David Polant Feldman, "Computational Mechanics of Classical Spin Systems", Ph.D. Thesis, University of California, Davis (1998).
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J. P. Crutchfield and D. P. Feldman, "Statistical Complexity of Simple 1D Spin Systems",
Physical Review E 55:2 (1997) 1239R-1243R.
[Abstract] [ps.gz]
- Two-dimensional Ising model
- Hidden Markov Models
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D. R. Upper, "Theory and Algorithms for Hidden Markov Models and Generalized
Hidden Markov Models", Ph.D. Dissertation, Mathematics Department, University of California (February 1997).
[Abstract] [ps.gz]
[gzipped pdf]
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