Results 31 to 40 of about 131,795 (285)
Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models. [PDF]
PLoS Computational Biology, 2016 Inverse statistical approaches to determine protein structure and function from Multiple Sequence Alignments (MSA) are emerging as powerful tools in computational biology.
Hugo Jacquin +4 more
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PPalign: optimal alignment of Potts models representing proteins with direct coupling information
BMC Bioinformatics, 2021 Background To assign structural and functional annotations to the ever increasing amount of sequenced proteins, the main approach relies on sequence-based homology search methods, e.g. BLAST or the current state-of-the-art methods based on profile Hidden
Hugo Talibart, François Coste
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Ising and Potts Models on Quenched Random Gravity Graphs [PDF]
, 1999 We report on single-cluster Monte Carlo simulations of the Ising, 4-state Potts and 10-state Potts models on quenched ensembles of planar, tri-valent random graphs.
Agishtein +52 more
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Low-temperature expansions for Potts models [PDF]
Physical Review B, 1993 On simple cubic lattices, we compute low temperature series expansions for the energy, magnetization and susceptibility of the three-state Potts model in D=2 and D=3 to 45 and 39 excited bonds respectively, and the eight-state Potts model in D=2 to 25 excited bonds. We use a recursive procedure which enumerates states explicitly.
Bhanot, G. +6 more
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Walking, Weak first-order transitions, and Complex CFTs II. Two-dimensional Potts model at $Q>4$
SciPost Physics, 2018 We study complex CFTs describing fixed points of the two-dimensional $Q$-state Potts model with $Q>4$. Their existence is closely related to the weak first-order phase transition and walking RG behavior present in the real Potts model at $Q>4$.
Victor Gorbenko, Slava Rychkov, Bernardo Zan
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Semiparametric Bayesian Regression via Potts Model [PDF]
Journal of Computational and Graphical Statistics, 2017 We consider Bayesian nonparametric regression through random partition models. Our approach involves the construction of a covariate-dependent prior distribution on partitions of individuals. Our goal is to use covariate information to improve predictive inference. To do so we propose a prior on partitions based on the Potts clustering model associated
Murua, Alejandro +1 more
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Вестник Дагестанского государственного технического университета: Технические науки, 2017 . Objectives A computer simulation of the antiferromagnetic structures described by the three-vertex Potts model on a triangular lattice is performed, taking into account the antiferromagnetic exchange interactions between the nearest J1 and second J2 ...
Yarash K. Abuev +2 more
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Majorana Loop Models for Measurement-Only Quantum Circuits
Physical Review X, 2023 Projective measurements in random quantum circuits lead to a rich breadth of entanglement phases and extend the realm of nonunitary quantum dynamics. Here, we explore the connection between measurement-only quantum circuits in one spatial dimension and ...
Kai Klocke, Michael Buchhold
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On the nature of a supposed water model
AIP Advances, 2014 A cell model that has been proposed by Stanley and Franzese in 2002 for modeling water is based on Potts variables that represent the possible orientations of bonds between water molecules.
Lotta Heckmann, Barbara Drossel
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Fractal Dynamics and Control of the Fractional Potts Model on Diamond-Like Hierarchical Lattices
Discrete Dynamics in Nature and Society, 2020 The fractional Potts model on diamond-like hierarchical lattices is introduced in this manuscript, which is a fractional rational system in the complex plane. Then, the fractal dynamics of this model is discussed from the fractal viewpoint.
Weihua Sun, Shutang Liu
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