Results 21 to 30 of about 3,357,696 (317)
Parallelized traveling cluster approximation to study numerically spin-fermion models on large lattices. [PDF]
Physical review. E, Statistical, nonlinear, and soft matter physics, 2015 Lattice spin-fermion models are important to study correlated systems where quantum dynamics allows for a separation between slow and fast degrees of freedom.
A. Mukherjee +3 more
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Interlaced coarse-graining for the dynamic cluster approximation [PDF]
, 2016 The dynamical cluster approximation (DCA) and its DCA$^+$ extension use coarse-graining of the momentum space to reduce the complexity of quantum many-body problems, thereby mapping the bulk lattice to a cluster embedded in a dynamical mean-field host ...
Peter Staar +4 more
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Approximate variational coupled cluster theory [PDF]
The Journal of Chemical Physics, 2011 We show that it is possible to construct an accurate approximation to the variational coupled cluster method, limited to double substitutions, from the minimization of a functional that is rigorously extensive, exact for isolated two-electron subsystems and invariant to transformations of the underlying orbital basis.
Robinson, James B., Knowles, Peter James
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Nonequilibrium dynamical cluster approximation study of the Falicov-Kimball model [PDF]
, 2016 We use a nonequilibrium implementation of the dynamical cluster approximation (DCA) to study the effect of short-range correlations on the dynamics of the two-dimensional Falicov-Kimball model after an interaction quench.
Andreas J. Herrmann +3 more
semanticscholar +1 more source
1-mean and 1-medoid 2-clustering problem with arbitrary cluster sizes: Complexity and approximation [PDF]
Yugoslav Journal of Operations Research, 2023 We consider the following 2-clustering problem. Given N points in Euclidean space, partition it into two subsets (clusters) so that the sum of squared distances between the elements of the clusters and their centers would be minimum.
Pyatkin Artem V.
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Clustered Matrix Approximation
SIAM Journal on Matrix Analysis and Applications, 2016 Summary: In this paper we develop a novel clustered matrix approximation framework, first showing the motivation behind our research. The proposed methods are particularly well suited for problems with large scale sparse matrices that represent graphs and/or bipartite graphs from information science applications.
Savas, Berkant, Dhillon, Inderjit S.
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Electrocaloric effect in KH2PO4 family crystals
Condensed Matter Physics, 2014 The proton ordering model for the KH2PO4 type ferroelectrics is modified by taking into account the dependence of the effective dipole moments on the proton ordering parameter.
A.S. Vdovych +3 more
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Exotic superconductivity through bosons in a dynamical cluster approximation [PDF]
, 2015 We study the instabilities towards (exotic) superconductivity of mixtures of spin-$1/2$ fermions coupled to scalar bosons on a two-dimensional square lattice with the Dynamical-Cluster-Approximation (DCA) using a numerically exact continuous-time Monte ...
T. Bilitewski, L. Pollet
semanticscholar +1 more source
Хімія, фізика та технологія поверхні, 2019 The results of the study on the properties of carbon nanotubes-polymer nanocomposites have shown that the use of nanotubes (CNT) to fill the polymer matrices of different species significantly alter their physical properties compared to the original ...
M. I. Terets +8 more
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Clustering under approximation stability [PDF]
Journal of the ACM, 2013 A common approach to clustering data is to view data objects as points in a metric space, and then to optimize a natural distance-based objective such as the k -median, k -means, or min-sum score.
Balcan, Maria-Florina +2 more
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