Long self-avoiding-walks by Monte Carlo simulation (1999)
- Authors:
- Autor USP: SILVA, MARCO ANTONIO ALVES DA - FCFRP
- Unidade: FCFRP
- Assunto: FÍSICA
- Language: Inglês
- Imprenta:
- Source:
- Título: Bulletin of the American Physical Society
- Volume/Número/Paginação/Ano: v. 44, n. 1, pt. 2, p. 1279, res. RP01 1206, 1999
- Conference titles: Centennial Meeting of the American Physical Society
-
ABNT
SILVA, Marco Antônio Alves da e SWENDSEN, R. H. Long self-avoiding-walks by Monte Carlo simulation. Bulletin of the American Physical Society. Menasha: Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 12 mar. 2026. , 1999 -
APA
Silva, M. A. A. da, & Swendsen, R. H. (1999). Long self-avoiding-walks by Monte Carlo simulation. Bulletin of the American Physical Society. Menasha: Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo. -
NLM
Silva MAA da, Swendsen RH. Long self-avoiding-walks by Monte Carlo simulation. Bulletin of the American Physical Society. 1999 ; 44( 1): 1279.[citado 2026 mar. 12 ] -
Vancouver
Silva MAA da, Swendsen RH. Long self-avoiding-walks by Monte Carlo simulation. Bulletin of the American Physical Society. 1999 ; 44( 1): 1279.[citado 2026 mar. 12 ] - Analysis of tumour growth using epidemic models
- Exact solution of an anisotropic 2D random walk model with strong memory correlations
- Weakly anomalous diffusion with non-Gaussian propagators
- Ultraslow diffusion in an exactly solvable non-Markovian random walk
- Superdiffusion driven by exponentially decaying memory
- Análise de "scaling" e enovelamento para grandes polímeros em rede
- Non-Gaussian propagator for elephant random walks
- Investigations of the globular proteins folding process by molecular dynamic simulations using a simple solvation model and non-periodic boundary conditions
- Dynamical Monte Carlo approach to tumor growth: the role of the waiting times
- Amnestically induced persistence in rantom walks
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
