| 2008 |
|---|
| 8 | EE | T. Wüst,
D. P. Landau:
The HP model of protein folding: A challenging testing ground for Wang-Landau sampling.
Computer Physics Communications 179(1-3): 124-127 (2008) |
| 7 | EE | D. P. Landau,
Fugao Wang,
Shan-Ho Tsai:
Critical endpoint behavior: A Wang-Landau study.
Computer Physics Communications 179(1-3): 8-12 (2008) |
| 2007 |
|---|
| 6 | EE | Y. W. Li,
T. Wüst,
D. P. Landau,
H. Q. Lin:
Numerical integration using Wang-Landau sampling.
Computer Physics Communications 177(6): 524-529 (2007) |
| 2006 |
|---|
| 5 | EE | Hwee Kuan Lee,
Yutaka Okabe,
D. P. Landau:
Convergence and refinement of the Wang-Landau algorithm.
Computer Physics Communications 175(1): 36-40 (2006) |
| 4 | EE | N. K. Roy,
Walter D. Potter,
D. P. Landau:
Polymer property prediction and optimization using neural networks.
IEEE Transactions on Neural Networks 17(4): 1001-1014 (2006) |
| 2005 |
|---|
| 3 | EE | D. P. Landau,
F. Tavazza,
J. Adler:
Monte Carlo simulations of a compressible Ising ferromagnet at constant volume.
Computer Physics Communications 169(1-3): 149-152 (2005) |
| 2 | EE | Kurt Binder,
Marcus Müller,
Andrey Milchev,
D. P. Landau:
Monte Carlo simulations of Ising models and polymer blends in double wedge geometry: Evidence for novel types of critical phenomena.
Computer Physics Communications 169(1-3): 226-229 (2005) |
| 2004 |
|---|
| 1 | EE | N. K. Roy,
Walter D. Potter,
D. P. Landau:
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains.
Appl. Intell. 20(3): 215-229 (2004) |
