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Simulation and Modelling
Notes 4. Reliability engineering
5. In simulated annealing for protein structure prediction
6. In semiconductor device research, to model the transport of current carriers
7. Environmental science, dealing with contaminant behavior
8. Search and Rescue and Counter-Pollution. Models used to predict the drift of a life raft or
movement of an oil slick at sea
9. In probabilistic design for simulating and understanding the effects of variability
10. In physical chemistry, particularly for simulations involving atomic clusters
11. In biomolecular simulations
12. In polymer physics
(a) Bond fluctuation model
13. In computer science
(a) Las Vegas algorithm
(b) LURCH
(c) Computer go
(d) General Game Playing
14. The movement of impurity atoms (or ions) in plasmas in existing and tokamaks (e.g.:
DIVIMP)
15. Nuclear and particle physics codes using the Monte Carlo method:
(a) GEANT — CERN’s simulation of high energy particles interacting with a detector
(b) CompHEP, PYTHIA — Monte-Carlo generators of particle collisions
(c) MCNP(X) — LANL’s radiation transport codes
(d) MCU — universal computer code for simulation of particle transport (neutrons,
photons, electrons) in three-dimensional systems by means of the Monte Carlo
method
(e) EGS — Stanford’s simulation code for coupled transport of electrons and photons
(f) PEREGRINE — LLNL’s Monte Carlo tool for radiation therapy dose calculations
(g) BEAMnrc — Monte Carlo code system for radiotherapy sources (LINAC’s)
(h) PENELOPE — Monte Carlo for coupled transport of photons and electrons, with
applications in radiotherapy
(i) MONK — Serco Assurance’s code for the calculation of k-effective of nuclear systems
of foam and cellular structures of tissue morphogenesis
16. Computation of holograms
17. Phylogenetic analysis, i.e., Bayesian inference, Markov chain Monte Carlo
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