activity
19952022
most citedBroad Histogram Monte Carlo

80 citations · 302 across the 19 of their papers we have counts for

collaborators

19 papers

cond-mat.stat-mech2022★ 4 cited

Energy-lowering and constant-energy spin flips: Emergence of the percolating cluster in the kinetic Ising model

Amanda de Azevedo-Lopes, Renan A. L. Almeida, Paulo Murilo C. de Oliveira +1

After a sudden quench from the disordered high-temperature phase to a final temperature below the critical point , the non-conserved order parameter dyn…

cond-mat.stat-mech2021★ 3 cited

A branching random-walk model of disease outbreaks and the percolation backbone

Paulo Murilo C. de Oliveira, Daniel A. Stariolo, Jeferson J. Arenzon

The size and shape of the region affected by an outbreak is relevant to understand the dynamics of a disease and help to organize future actions to mitigate similar events. A simpl…

physics.soc-ph2015★ 41 cited

Inflexibility and independence: Phase transitions in the majority-rule model

Nuno Crokidakis, Paulo Murilo Castro de Oliveira

In this work we study opinion formation in a population participating of a public debate with two distinct choices. We considered three distinct mechanisms of social interactions a…

physics.soc-ph2014★ 16 cited

The first shall be last: selection-driven minority becomes majority

Nuno Crokidakis, Paulo Murilo Castro de Oliveira

Street demonstrations occur across the world. In Rio de Janeiro, June/July 2013, they reach beyond one million people. A wrathful reader of \textit{O Globo}, leading newspaper in t…

q-bio.QM2013★ 1 cited

Dynamic Ising Model: Reconstruction of Evolutionary Trees

Paulo Murilo Castro de Oliveira

An evolutionary tree is a cascade of bifurcations starting from a single common root, generating a growing set of daughter species as time goes by. Species here is a general denomi…

physics.soc-ph2012★ 21 cited

Impact of site dilution and agent diffusion on the critical behavior of the majority-vote model

Nuno Crokidakis, Paulo Murilo Castro de Oliveira

In this work we study a modified version of the majority-vote model with noise. In particular, we consider a random diluted square lattice for which a site is empty with a probabil…

physics.soc-ph2011★ 22 cited

The Sznajd model with limited persuasion: competition between high-reputation and hesitant agents

Nuno Crokidakis, Paulo Murilo Castro de Oliveira

In this work we study a modified version of the two-dimensional Sznajd sociophysics model. In particular, we consider the effects of agents' reputations in the persuasion rules. In…

physics.soc-ph2008★ 8 cited

A simple branching model that reproduces language family and language population distributions

V. Schwämmle, P. M. C. de Oliveira

Human history leaves fingerprints in human languages. Little is known over language evolution and its study is of great importance. Here, we construct a simple stochastic model and…

cond-mat.stat-mech2003★ 4 cited

Positive mutations and mutation-dependent Verhulst factor in Penna ageing model

S. Moss de Oliveira, D. Stauffer, P. M. C de Oliveira +1

We twice modify the Penna model for biological ageing. First we introduce back (good) mutations and a memory for them into the model. It allows us to observe an improvement of the…

cond-mat.stat-mech2001★ 2 cited

Diploid versus Haploid Organisms

Armando Ticona, Paulo Murilo C. de Oliveira

Using a bit string model, we show that asexual reproduction for diploids is more efficient than for haploids: it improves genetic material producing new individuals with less delet…

cond-mat.stat-mech2000

Reply to a comment on "A Comparison Between Broad Histogram and Multicanonical Methods"

A. R. Lima, T. J. P. Penna, P. M. C. de Oliveira

This is a reply to the comment by M. Kastner and M. Promberger [cond-mat/0011516] on the paper published in J. Stat. Phys. 99, 691 (2000) and also in cond-mat/0002176. We show that…

cond-mat.stat-mech1999★ 15 cited

Broad Histogram Method for Multiparametric Hamiltonians

A. R. Lima, P. M. C. de Oliveira, T. J. P. Penna

We extended the Broad Histogram Method in order to obtain spectral degeneracies for systems with multiparametric Hamiltonians. As examples we obtained the critical lines for the sq…

cond-mat.stat-mech1998★ 5 cited

Critical Exponents for Nuclear Multifragmentation: dynamical lattice model

J. S. Sa' Martins, P. M. C. de Oliveira

We present a dynamical and dissipative lattice model, designed to mimic nuclear multifragmentation. Monte-Carlo simulations with this model show clear signature of critical behavio…

cond-mat.stat-mech1997★ 80 cited

Broad Histogram Monte Carlo

P. M. C. de Oliveira, T. J. P. Penna, H. J. Herrmann

We propose a new Monte Carlo technique in which the degeneracy of energy states is obtained with a Markovian process analogous to that of Metropolis used currently in canonical sim…

cond-mat.stat-mech1997★ 7 cited

Monte Carlo Simulations of Some Dynamical Aspects of Drop Formation

A. R. de Lima, T. J. P. Penna, P. M. C. de Oliveira

In this work we present some results from computer simulations of dynamical aspects of drop formation in a leaky faucet. Our results, which agree very well with the experiments, su…

cond-mat.stat-mech1996★ 6 cited

Broad Histogram Method

P. M. C. de Oliveira, T. J. P. Penna, H. J. Herrmann

Ferrenberg and Swendsen histogram method is based on Boltzmann probability distribution which presents exponentially decaying tails. Thus, it gives accurate measures only within a…

adap-org1995★ 43 cited

Long Range Anticorrelations and Non-Gaussian Behavior of a Leaky Faucet

T. J. P. Penna, P. M. C. de Oliveira, J. C. Sartorelli +2

We find that intervals between successive drops from a leaky faucet display scale-invariant, long-range anticorrelations characterized by the same exponents of heart beat-to-beat i…

cond-mat1995★ 11 cited

FINITE SIZE SCALING FOR FIRST ORDER TRANSITIONS: POTTS MODEL

P. M. C. de Oliveira, S. M. Moss de Oliveira, C. E. Cordeiro +1

The finite-size scaling algorithm based on bulk and surface renormalization of de Oliveira (1992) is tested on q-state Potts models in dimensions D = 2 and 3. Our Monte Carlo data…

cond-mat1995★ 13 cited

RELAXATION TO SPIN GLASS GROUND STATE IN ONE TO SIX DIMENSIONS

D. Stauffer, P. M. C. de Oliveira

In the +-J Edwards-Anderson spin glass, we find by Monte Carlo simulation the (approximate) ground state energy. Also, we check how in the relaxation towards this ground state the…