Monte Carlo studies of an fcc Ising antiferromagnet with nearest- and next-nearest-neighbor interactions

1980 ◽  
Vol 21 (9) ◽  
pp. 4027-4037 ◽  
Author(s):  
M. K. Phani ◽  
Joel L. Lebowitz ◽  
M. H. Kalos
Keyword(s):  
Monte Carlo ◽  
Nearest Neighbor ◽  
Monte Carlo Studies ◽  
Ising Antiferromagnet

MONTE CARLO STUDIES OF A NEW MODEL DRIVEN DIFFUSIVE SYSTEM WITH REPULSIVE INTERACTIONS

1992 ◽  
Vol 06 (26) ◽  
pp. 1673-1679
Author(s):  
K.K. MON
Keyword(s):  
Monte Carlo ◽  
Lattice Gas ◽  
Nearest Neighbor ◽  
Two Dimensions ◽  
Model Driven ◽  
New Class ◽  
Driven Lattice Gas ◽  
Driven Diffusive System ◽  
Monte Carlo Studies ◽  
Repulsive Interactions

We propose a new class of driven lattice gas with repulsive nearest-neighbor interactions. Particles are allowed to jump to empty next-nearest-neighbor (nnn) sites in addition to the standard nearest-neighbor moves. In contrast to previous model with repulsive interactions, the external driving field (E) acts only along the nnn directions and does not destroy ground state sublattice ordering. Extensive Monte Carlo simulations in two dimensions for small E are consistent with a line of continuous transitions with Ising exponents. First-order transitions are also found for larger E.

scholarly journals Comparative Monte Carlo Analysis of Background Estimation Algorithms for Unmanned Aerial Vehicle Detection

2021 ◽  
Vol 13 (5) ◽  
pp. 870
Author(s):  
Grzegorz Matczak ◽  
Przemyslaw Mazurek
Keyword(s):  
Monte Carlo ◽  
Unmanned Aerial Vehicle ◽  
Nearest Neighbor ◽  
Monte Carlo Analysis ◽  
K Nearest Neighbor ◽  
Background Estimation ◽  
Estimation Algorithms ◽  
Monte Carlo Studies ◽  
Aerial Vehicle ◽  
Mixture Of Gaussian

Background estimation algorithms are important in UAV (Unmanned Aerial Vehicle) vision tracking systems. Incorrect selection of an algorithm and its parameters leads to false detections that must be filtered by the tracking algorithm of objects, even if there is only one UAV within the visibility range. This paper shows that, with the use of genetic optimization, it is possible to select an algorithm and its parameters automatically. Background estimation algorithms (CNT (CouNT), GMG (Godbehere-Matsukawa-Goldberg), GSOC (Google Summer of Code 2017), MOG (Mixture of Gaussian), KNN (K–Nearest Neighbor–based Background/Foreground Segmentation Algorithm), MOG2 (Mixture of Gaussian version 2), and MEDIAN) and the reference algorithm of thresholding were tested. Monte Carlo studies were carried out showing the advantages of the MOG2 algorithm for UAV detection. An empirical sensitivity analysis was presented that rejected the MEDIAN algorithm.

scholarly journals Histogram Monte Carlo study of the next-nearest-neighbor Ising antiferromagnet on a stacked triangular lattice

1993 ◽  
Vol 47 (21) ◽  
pp. 14312-14317 ◽  
Author(s):  
M. L. Plumer ◽  
A. Mailhot ◽  
R. Ducharme ◽  
A. Caillé ◽  
H. T. Diep
Keyword(s):  
Monte Carlo ◽  
Triangular Lattice ◽  
Nearest Neighbor ◽  
Monte Carlo Study ◽  
Ising Antiferromagnet

SIMULATION OF A MULTICRITICAL FCC ISING ANTIFERROMAGNET

1996 ◽  
Vol 07 (06) ◽  
pp. 857-861
Author(s):  
D. RENNÉ
Keyword(s):  
Magnetic Field ◽  
Monte Carlo ◽  
External Magnetic Field ◽  
Triple Point ◽  
Nearest Neighbor ◽  
Neighbor Interaction ◽  
Multicritical Point ◽  
Fcc Lattice ◽  
Ising Antiferromagnet ◽  
Open Question

Inspired by the work by Kämmerer, Dünweg, Binder, and d'Onorio de Meo we investigated the spin-[Formula: see text] Ising antiferromagnet on a fcc lattice in a homogeneous external magnetic field H with uniform nearest-neighbor interaction J by Monte Carlo simulations. In order to answer the open question whether this system exhibits a triple point or a multicritical point for positive H, we mainly studied lattices with 4 · 323 and 4 · 723 spins. We found a multicritical point at (Hc, kBTc) = (3.49 ± 0.02, 1.02 ± 0.01) J in the thermodynamic limit.

207PB NMR and Monte Carlo Studies of Ionic Solid Solutions

1998 ◽  
Vol 547 ◽  
Author(s):  
Young-Sik Kye ◽  
Bruno Herreros ◽  
Gerard S. Harbison
Keyword(s):  
Monte Carlo ◽  
Solid Solutions ◽  
Nearest Neighbor ◽  
Positive Curvature ◽  
Lattice Parameter ◽  
Mixed Crystals ◽  
Strontium Nitrate ◽  
Ion Distributions ◽  
Monte Carlo Studies ◽  
Ionic Solid

AbstractLead, strontium and barium nitrates, like the titanates of the same cations, form a continuous set of solid solutions. 207Pb NMR spectra of mixed crystals of lead/strontium nitrate and lead/barium nitrate each show up to 13 lines, arising from lead ions with from zero to twelve Pb2+ nearest-neighbor cations replaced by Sr2+ or Ba2+. In the case of (Pb,Sr)(NO3)2 these shifted lines are further split by the multiplicity of inequivalent nearest-neighbor replacements. The average shift per Sr2+ ion is 21.8 ppm; that for Ba2+ is smaller. Using Monte Carlo/Metropolis calculations, the intensities of the resonances can be fit to statistical models of Pb2+ and Sr2+ ion distributions, and used to probe the microenergetics of solid solution formation. The data can be satisfactorily fit by distributions in which the cations are slightly clustered, with like pairs of nearest neighbors being favored by 120 J/mol over unlike pairs. Interestingly, this finding is inconsistent with the conventional interpretation of powder diffraction results for the mixed crystals, where the dependence of lattice parameter on composition shows a slight positive curvature, generally held to indicate a favorable interaction between unlike ions.

scholarly journals Monte Carlo Studies of the Ising Antiferromagnet with a Ferromagnetic Mean-field Term

2014 ◽  
Vol 57 ◽  
pp. 20-23 ◽  
Author(s):  
Gregory Brown ◽  
Per Arne Rikvold ◽  
Seiji Miyashita
Keyword(s):  
Monte Carlo ◽  
Mean Field ◽  
Monte Carlo Studies ◽  
Ising Antiferromagnet

scholarly journals Monte Carlo studies of pion distributions from heavy ion collisions

1983 ◽  
Vol 27 (2) ◽  
pp. 606-627 ◽  
Author(s):  
Hafez M. A. Radi ◽  
John O. Rasmussen ◽  
Kenneth A. Frankel ◽  
John P. Sullivan ◽  
H. C. Song
Keyword(s):  
Monte Carlo ◽  
Heavy Ion Collisions ◽  
Heavy Ion ◽  
Ion Collisions ◽  
Monte Carlo Studies

Reverse Monte Carlo studies of nanoporous carbon from TiC

2005 ◽  
Vol 17 (23) ◽  
pp. 3509-3524 ◽  
Author(s):  
Per Zetterström ◽  
Sigita Urbonaite ◽  
Fredrik Lindberg ◽  
Robert G Delaplane ◽  
Jaan Leis ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Nanoporous Carbon ◽  
Reverse Monte Carlo ◽  
Monte Carlo Studies
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