#### Filter Results:

- Full text PDF available (43)

#### Publication Year

1986

2017

- This year (1)
- Last 5 years (18)
- Last 10 years (41)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Organism

Learn More

- Fugao Wang, David P. Landau
- Physical review letters
- 2001

We present a new Monte Carlo algorithm that produces results of high accuracy with reduced simulational effort. Independent random walks are performed (concurrently or serially) in different, restricted ranges of energy, and the resultant density of states is modified continuously to produce locally flat histograms. This method permits us to directly access… (More)

- Fugao Wang, David P. Landau
- Physical review. E, Statistical, nonlinear, and…
- 2001

We describe an efficient Monte Carlo algorithm using a random walk in energy space to obtain a very accurate estimate of the density of states for classical statistical models. The density of states is modified at each step when the energy level is visited to produce a flat histogram. By carefully controlling the modification factor, we allow the density of… (More)

- D. T. Seaton, Stefan Schnabel, David P. Landau, Michael Bachmann
- Physical review letters
- 2013

Inspired by recent studies revealing unexpected pliability of semiflexible biomolecules like RNA and DNA, we systematically investigate the range of structural phases by means of a simple generic polymer model. Using a two-dimensional variant of Wang-Landau sampling to explore the conformational space in energy and stiffness within a single simulation, we… (More)

- Thomas Wüst, David P. Landau
- Physical review letters
- 2009

We show that Wang-Landau sampling, combined with suitable Monte Carlo trial moves, provides a powerful method for both the ground state search and the determination of the density of states for the hydrophobic-polar (HP) protein model and the interacting self-avoiding walk (ISAW) model for homopolymers. We obtain accurate estimates of thermodynamic… (More)

We review recently developed decomposition algorithms for molecular dynamics and spin dynamics simulations of many-body systems. These methods are time reversible, symplectic, and the error in the total energy thus generated is bounded. In general, these techniques are accurate for much larger time steps than more standard integration methods. Illustrations… (More)

- Thomas Wüst, David P. Landau
- The Journal of chemical physics
- 2012

Coarse-grained (lattice-) models have a long tradition in aiding efforts to decipher the physical or biological complexity of proteins. Despite the simplicity of these models, however, numerical simulations are often computationally very demanding and the quest for efficient algorithms is as old as the models themselves. Expanding on our previous work [T.… (More)

We describe a class of “bare bones” models of homopolymers which undergo coil-globule collapse and proteins which fold into their native states in free space or into denatured states when captured by an attractive substrate as the temperature is lowered. We then show how, with the use of a properly chosen trial move set, Wang-Landau Monte Carlo sampling can… (More)

- S. J. Mitchell, David P. Landau
- Physical review letters
- 2006

We perform a high precision Monte Carlo study of asymptotic domain growth in a compressible two-dimensional spin-exchange Ising model with continuous particle positions and zero total magnetization, and we investigate the effects of compressibility and lattice mismatch on the late-time domain growth law, R(t) = A + Bt(n). For mismatched systems, we measure… (More)

- Chenggang Zhou, T. C. Schulthess, Stefan Torbrügge, David P. Landau
- Physical review letters
- 2006

We present a modified Wang-Landau algorithm for models with continuous degrees of freedom. We demonstrate this algorithm with the calculation of the joint density of states of ferromagnet Heisenberg models and a model polymer chain. The joint density of states contains more information than the density of states of a single variable-energy, but is also much… (More)

- Barbara J. Schulz, Kurt Binder, Matthias F. Mueller, David P. Landau
- Physical review. E, Statistical, nonlinear, and…
- 2003

A simple modification of the "Wang-Landau sampling" algorithm removes the systematic error that occurs at the boundary of the range of energy over which the random walk takes place in the original algorithm.