Proves existence of the C-type renormalisation two-cycle in a Banach space of analytic maps with rigorous bounds on state-space scaling constants.
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6 Pith papers cite this work, alongside 12 external citations. Polarity classification is still indexing.
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Derives second-order Chapman-Enskog bulk viscosity for binary mixtures showing improved physical properties and agreement with Green-Kubo.
A reduced-dimension model places bosons in (d+1) dimensions and fermions in d dimensions to make perturbative RG analysis of NFL physics more tractable by taming logarithmic and higher divergences.
Proposes a special E6 → G(2) × SU(3)_A embedding with 650 Higgs sector, E7 completion, and one-loop unification to embed the Standard Model plus a secluded dark matter sector via dark glueballs.
Tutorial for PyPETANA framework that extracts time-resolved geometric observables directly from image sequences of evolving morphologies, demonstrated on tumor-like growth interfaces.
This review summarizes prior attempts to define renormalization procedures for heterogeneous complex networks and highlights remaining open challenges.
citing papers explorer
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Existence of the C-type renormalisation two-cycle
Proves existence of the C-type renormalisation two-cycle in a Banach space of analytic maps with rigorous bounds on state-space scaling constants.
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Bulk viscosity of a binary mixture: the role of the intra-species interaction
Derives second-order Chapman-Enskog bulk viscosity for binary mixtures showing improved physical properties and agreement with Green-Kubo.
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Reduce dimensional quantum criticality for Non-Fermi liquids
A reduced-dimension model places bosons in (d+1) dimensions and fermions in d dimensions to make perturbative RG analysis of NFL physics more tractable by taming logarithmic and higher divergences.
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Toward a Special \textbf{$E_6\to G(2) \times SU(3)_A$} Embedding for Standard Model and Dark Matter and an $E_7$ Completion Proposal
Proposes a special E6 → G(2) × SU(3)_A embedding with 650 Higgs sector, E7 completion, and one-loop unification to embed the Standard Model plus a secluded dark matter sector via dark glueballs.
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A geometry-first tutorial for time-resolved morphological analysis with PyPETANA
Tutorial for PyPETANA framework that extracts time-resolved geometric observables directly from image sequences of evolving morphologies, demonstrated on tumor-like growth interfaces.
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Network Renormalization
This review summarizes prior attempts to define renormalization procedures for heterogeneous complex networks and highlights remaining open challenges.