Nonlinear Solutions of Renormalization-Group Equations [PDF]
, 1974 J. F. Nicoll, T. S. Chang, H. E. Stanley
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Scandinavian Journal of Statistics, EarlyView.Abstract Numerical interactions leading to users sharing textual content published by others are naturally represented by a network where the individuals are associated with the nodes and the exchanged texts with the edges. To understand those heterogeneous and complex data structures, clustering nodes into homogeneous groups as well as rendering a ...
Rémi Boutin +2 more
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A Similarity Renormalization Group Approach to Green's Function Methods. [PDF]
J Chem Theory Comput, 2023 Marie A, Loos PF.
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A Note on an Approximate Renormalization Group Equation [PDF]
, 1975 Kyozi Kawasaki, J. D. Gunton
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On the renormalization group fixed point of the two-dimensional Ising model at criticality. [PDF]
Sci Rep, 2023 Stottmeister A, Osborne TJ.
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RENORMALIZATION GROUP METHOD APPLIED TO LARGE SCALE LANGMUIR TURBULENCE [PDF]
, 1979 G. Pelletier
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Microelectrode recordings from the human cervical vagus nerve during maximal breath‐holds
Experimental Physiology, EarlyView.Abstract Voluntary breath‐holds can be sustained for a long time following training, but ultimately, regardless of duration, the asphyxic break‐point is reached and the apnoea terminated. The physiological changes occurring during the apnoea include a marked increase in sympathetically‐mediated vasoconstriction in non‐essential organs, such as skeletal
Vaughan G. Macefield +7 more
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Dynamical Simulations of Carotenoid Photoexcited States Using Density Matrix Renormalization Group Techniques. [PDF]
J Phys Chem A, 2023 Manawadu D, Valentine DJ, Barford W.
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Renormalization-Group Approach to Spin Glass Transition in an Ising Model [PDF]
, 1978 T. Tatsumi
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Quasi‐invariance of Gaussian measures for the 3d$3d$ energy critical nonlinear Schrödinger equation
Communications on Pure and Applied Mathematics, Volume 78, Issue 12, Page 2305-2353, December 2025.Abstract We consider the 3d$3d$ energy critical nonlinear Schrödinger equation with data distributed according to the Gaussian measure with covariance operator (1−Δ)−s$(1-\Delta)^{-s}$, where Δ$\Delta$ is the Laplace operator and s$s$ is sufficiently large. We prove that the flow sends full measure sets to full measure sets. We also discuss some simple
Chenmin Sun, Nikolay Tzvetkov
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