Results 11 to 20 of about 629,308 (310)
Pushing the limits of Monte Carlo simulations for the three-dimensional Ising model. [PDF]
Physical Review E, 2017 While the three-dimensional Ising model has defied analytic solution, various numerical methods like Monte Carlo, Monte Carlo renormalization group, and series expansion have provided precise information about the phase transition.
A. M. Ferrenberg, Jiahao Xu, D. Landau
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Unbiasing fermionic quantum Monte Carlo with a quantum computer [PDF]
Nature, 2021 Interacting many-electron problems pose some of the greatest computational challenges in science, with essential applications across many fields. The solutions to these problems will offer accurate predictions of chemical reactivity and kinetics, and ...
W. Huggins +5 more
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Monte Carlo simulations of crystalline organic semiconductors [PDF]
Serbian Journal of Electrical Engineering, 2013 Molecular model for crystalline organic semiconductors based on small molecules is implemented in three-dimensional Monte Carlo simulations. In this paper results for naphthalene are presented.
Mladenović Marko, Stanković Igor
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Majorana Positivity and the Fermion Sign Problem of Quantum Monte Carlo Simulations. [PDF]
Physical Review Letters, 2016 The sign problem is a major obstacle in quantum Monte Carlo simulations for many-body fermion systems. We examine this problem with a new perspective based on the Majorana reflection positivity and Majorana Kramers positivity.
Z. C. Wei +4 more
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Entanglement entropy from non-equilibrium Monte Carlo simulations
Journal of High Energy Physics, 2023 We study the entanglement entropy in lattice field theory using a simulation algorithm based on Jarzynski’s theorem. We focus on the entropic c-function for the Ising model in two and in three dimensions: after validating our algorithm against known ...
Andrea Bulgarelli, Marco Panero
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E-Jurnal Matematika, 2022 Estimating the value at risk (VaR) is an important aspect of investment. VaR is a standard method of measuring risk defined as the maximum loss over a certain period of time at a certain level of confidence.
PUTU SAVITRI DEVI +2 more
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Accelerated Monte Carlo simulations with restricted Boltzmann machines [PDF]
, 2016 Despite their exceptional flexibility and popularity, the Monte Carlo methods often suffer from slow mixing times for challenging statistical physics problems.
Li Huang, Lei Wang
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Range uncertainties in proton therapy and the role of Monte Carlo simulations
Physics in Medicine and Biology, 2012 The main advantages of proton therapy are the reduced total energy deposited in the patient as compared to photon techniques and the finite range of the proton beam. The latter adds an additional degree of freedom to treatment planning.
H. Paganetti
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Charged Polymer/Nanoparticle Mixtures: Monte Carlo Simulations
CHIMIA, 2002 We used Monte-Carlo simulations to study the formation of complexes between charged polymers (or polyelectrolytes) with oppositely charged spherical nanoparticles.
Abohachem Laguecir +2 more
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Optimal phase space sampling for Monte Carlo simulations of Heisenberg spin systems
Journal of Physics: Condensed Matter, 2019 We present an adaptive algorithm for the optimal phase space sampling in Monte Carlo simulations of 3D Heisenberg spin systems. Based on a golden rule of the Metropolis algorithm which states that an acceptance rate of is ideal to efficiently sample the ...
J. Alzate-Cardona +3 more
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