Scaling analysis of persistence length for the self-avoiding trail (2017)
- Authors:
- USP affiliated authors: SILVA, MARCO ANTONIO ALVES DA - FCFRP ; MARTINEZ, ALEXANDRE SOUTO - FFCLRP
- Unidades: FCFRP; FFCLRP
- Assunto: MECÂNICA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Source:
- Título: Abstracts Book
- Conference titles: Encontro Nacional de Física Estatística (ENFE)
-
ABNT
GRANZOTTI, Cristiano Roberto Fabri e SILVA, Marco Antônio Alves da e MARTINEZ, Alexandre Souto. Scaling analysis of persistence length for the self-avoiding trail. 2017, Anais.. Ilhéus: SBF, 2017. Disponível em: http://nbcgib.uesc.br/enfe/files/livroENFE.pdf. Acesso em: 01 nov. 2024. -
APA
Granzotti, C. R. F., Silva, M. A. A. da, & Martinez, A. S. (2017). Scaling analysis of persistence length for the self-avoiding trail. In Abstracts Book. Ilhéus: SBF. Recuperado de http://nbcgib.uesc.br/enfe/files/livroENFE.pdf -
NLM
Granzotti CRF, Silva MAA da, Martinez AS. Scaling analysis of persistence length for the self-avoiding trail [Internet]. Abstracts Book. 2017 ;[citado 2024 nov. 01 ] Available from: http://nbcgib.uesc.br/enfe/files/livroENFE.pdf -
Vancouver
Granzotti CRF, Silva MAA da, Martinez AS. Scaling analysis of persistence length for the self-avoiding trail [Internet]. Abstracts Book. 2017 ;[citado 2024 nov. 01 ] Available from: http://nbcgib.uesc.br/enfe/files/livroENFE.pdf - Scaling analysis of self-avoiding walk with persistence lengths
- Scalling analysis of random walks with persistence lengths: application to self-avoiding walks
- Persistence length convergence and universality for the self-avoiding random walk
- Revisitando 'R IND 1' para modelos epidêmicos
- Amnestically induced persistence in rantom walks
- Sudden onset of log-periodicity and superdiffusion in non-Markovian random walks with amnestically induced persistence: exact results
- Non-Markovian randon walk with loss of memory
- Weakly anomalous diffusion with non-Gaussian propagators
- Soluções por um novo método Monte Carlo Dinâmico do modelo epidêmico SIRS generalizado
- Folding analyses by Monte Carlo method
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