Solving Functional Renormalization Group Equations with Neural Networks | Paper Citation Record

Observation 4f10e439-5a68-45bf-b50d-d46612181008 · outbound

This paper cites We find that the training results are largely insensitive to the choice of learning rate within a reason- able range.

Solving Functional Renormalization Group Equations with Neural Networks We find that the training results are largely insensitive to the choice of learning rate within a reason- able range

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This paper cites 4 presents the field derivative of the rescaled effective potential ˆV ′ k(ˆρ) for theO(4) model atT= 100 MeV, which lies below the critical temperatureT c ≈ 150 MeV.

Solving Functional Renormalization Group Equations with Neural Networks 4 presents the field derivative of the rescaled effective potential ˆV ′ k(ˆρ) for theO(4) model atT= 100 MeV, which lies below the critical temperatureT c ≈ 150 MeV

Reference 2

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Solving Functional Renormalization Group Equations with Neural Networks Unresolved cited work

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Reference 4

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This paper cites (A2), is a differential algebraic equa- tion of index 1.

Solving Functional Renormalization Group Equations with Neural Networks (A2), is a differential algebraic equa- tion of index 1

Reference 8

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This paper cites Wetterich, Exact evolution equation for the effective potential, Phys.

Solving Functional Renormalization Group Equations with Neural Networks Wetterich, Exact evolution equation for the effective potential, Phys

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Reference 12

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Observation bb9de32a-38d2-4a54-9f0c-2f8a00f3fda7 · outbound

This paper cites Berges, N.

Solving Functional Renormalization Group Equations with Neural Networks Berges, N

Reference 14

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This paper cites Canet and H.

Solving Functional Renormalization Group Equations with Neural Networks Canet and H

Reference 15

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Observation 9b1d9a20-d76d-4a27-b426-df94339a3da7 · outbound

This paper cites General framework of the non-perturbative renormalization group for non-equilibrium steady states.

Solving Functional Renormalization Group Equations with Neural Networks General framework of the non-perturbative renormalization group for non-equilibrium steady states

Reference 16

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This paper cites Dynamic universality class of Model C from the functional renormalization group.

Solving Functional Renormalization Group Equations with Neural Networks Dynamic universality class of Model C from the functional renormalization group

Reference 17

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This paper cites Time-evolution of fluctuations as signal of the phase transition dynamics in a QCD-assisted transport approach.

Solving Functional Renormalization Group Equations with Neural Networks Time-evolution of fluctuations as signal of the phase transition dynamics in a QCD-assisted transport approach

Reference 18

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This paper cites Critical dynamics in a real-time formulation of the functional renormalization group.

Solving Functional Renormalization Group Equations with Neural Networks Critical dynamics in a real-time formulation of the functional renormalization group

Reference 19

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This paper cites Universality of pseudo-Goldstone damping near critical points.

Solving Functional Renormalization Group Equations with Neural Networks Universality of pseudo-Goldstone damping near critical points

Reference 20

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This paper cites Critical dynamics of Model H within the real-time fRG approach.

Solving Functional Renormalization Group Equations with Neural Networks Critical dynamics of Model H within the real-time fRG approach

Reference 21

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This paper cites Dynamic critical behavior of the chiral phase transition from the real-time functional renormalization group.

Solving Functional Renormalization Group Equations with Neural Networks Dynamic critical behavior of the chiral phase transition from the real-time functional renormalization group

Reference 22

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This paper cites Universal critical dynamics near the chiral phase transition and the QCD critical point.

Solving Functional Renormalization Group Equations with Neural Networks Universal critical dynamics near the chiral phase transition and the QCD critical point

Reference 23

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This paper cites From Quarks and Gluons to Hadrons: Chiral Symmetry Breaking in Dynamical QCD.

Solving Functional Renormalization Group Equations with Neural Networks From Quarks and Gluons to Hadrons: Chiral Symmetry Breaking in Dynamical QCD

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This paper cites Chiral symmetry breaking in continuum QCD.

Solving Functional Renormalization Group Equations with Neural Networks Chiral symmetry breaking in continuum QCD

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This paper cites The Vacuum Structure of Vector Mesons in QCD.

Solving Functional Renormalization Group Equations with Neural Networks The Vacuum Structure of Vector Mesons in QCD

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This paper cites Landau gauge Yang-Mills correlation functions.

Solving Functional Renormalization Group Equations with Neural Networks Landau gauge Yang-Mills correlation functions

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This paper cites Non-perturbative finite-temperature Yang-Mills theory.

Solving Functional Renormalization Group Equations with Neural Networks Non-perturbative finite-temperature Yang-Mills theory

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This paper cites Non-perturbative quark, gluon and meson correlators of unquenched QCD.

Solving Functional Renormalization Group Equations with Neural Networks Non-perturbative quark, gluon and meson correlators of unquenched QCD

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Solving Functional Renormalization Group Equations with Neural Networks The QCD phase structure at finite temperature and density

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This paper cites Chiral Susceptibility in (2+1)-flavour QCD.

Solving Functional Renormalization Group Equations with Neural Networks Chiral Susceptibility in (2+1)-flavour QCD

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This paper cites Towards quantitative precision in functional QCD I.

Solving Functional Renormalization Group Equations with Neural Networks Towards quantitative precision in functional QCD I

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Solving Functional Renormalization Group Equations with Neural Networks Fermion Interactions and Universal Behavior in Strongly Interacting Theories

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Solving Functional Renormalization Group Equations with Neural Networks The nonperturbative functional renormalization group and its applications

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Solving Functional Renormalization Group Equations with Neural Networks QCD at finite temperature and density within the fRG approach: An overview

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Solving Functional Renormalization Group Equations with Neural Networks Machine Learning in Nuclear Physics

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Solving Functional Renormalization Group Equations with Neural Networks Exploring QCD matter in extreme conditions with Machine Learning

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This paper cites Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics.

Solving Functional Renormalization Group Equations with Neural Networks Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics

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Solving Functional Renormalization Group Equations with Neural Networks Applications of Machine Learning to Lattice Quantum Field Theory

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This paper cites Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics.

Solving Functional Renormalization Group Equations with Neural Networks Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics

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Solving Functional Renormalization Group Equations with Neural Networks Diffusion Models as Stochastic Quantization in Lattice Field Theory

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Solving Functional Renormalization Group Equations with Neural Networks Generative Diffusion Models for Lattice Field Theory

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Solving Functional Renormalization Group Equations with Neural Networks Diffusion models for lattice gauge field simulations

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Solving Functional Renormalization Group Equations with Neural Networks Aarts, D

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Solving Functional Renormalization Group Equations with Neural Networks Raissi, P

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This paper cites Physics-informed neural networks for solving functional renormalization group on a lattice.

Solving Functional Renormalization Group Equations with Neural Networks Physics-informed neural networks for solving functional renormalization group on a lattice

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Solving Functional Renormalization Group Equations with Neural Networks Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees

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This paper cites Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics.

Solving Functional Renormalization Group Equations with Neural Networks Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics

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Solving Functional Renormalization Group Equations with Neural Networks Spectral functions in Minkowski quantum electrodynamics from neural reconstruction

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This paper cites Optimised Renormalisation Group Flows.

Solving Functional Renormalization Group Equations with Neural Networks Optimised Renormalisation Group Flows

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Solving Functional Renormalization Group Equations with Neural Networks Physics and the choice of regulators in functional renormalisation group flows

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Solving Functional Renormalization Group Equations with Neural Networks Convergence of Non-Perturbative Approximations to the Renormalization Group

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Solving Functional Renormalization Group Equations with Neural Networks Precision calculation of critical exponents in the $O(N)$ universality classes with the nonperturbative renormalization group

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Solving Functional Renormalization Group Equations with Neural Networks Critical exponents from optimised renormalisation group flows

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Solving Functional Renormalization Group Equations with Neural Networks Global solutions of functional fixed point equations via pseudo-spectral methods

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Solving Functional Renormalization Group Equations with Neural Networks Solving functional flow equations with pseudo-spectral methods

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Solving Functional Renormalization Group Equations with Neural Networks Critical behaviors of the $O(4)$ and $Z(2)$ symmetries in the QCD phase diagram

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Solving Functional Renormalization Group Equations with Neural Networks Resolving phase transitions with Discontinuous Galerkin methods

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Solving Functional Renormalization Group Equations with Neural Networks DiFfRG: A Discretisation Framework for functional Renormalisation Group flows

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.141283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 130b005d-2e41-4d01-9b5c-87110fe7ee11 · outbound

This paper cites Functional Renormalization Group meets Computational Fluid Dynamics: RG flows in a multi-dimensional field space.

Solving Functional Renormalization Group Equations with Neural Networks Functional Renormalization Group meets Computational Fluid Dynamics: RG flows in a multi-dimensional field space

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.243392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 448c9512-9fd2-4830-81f6-739f80144f97 · outbound

This paper cites Four-quark scatterings in QCD I.

Solving Functional Renormalization Group Equations with Neural Networks Four-quark scatterings in QCD I

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.330626Z

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Unavailable: canonical work link unavailable.

Observation 67f7bbe3-e255-4451-9ab9-af8962eb8d16 · outbound

This paper cites Four-quark scatterings in QCD III.

Solving Functional Renormalization Group Equations with Neural Networks Four-quark scatterings in QCD III

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.384162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e99bfd6f-d21f-4dcd-bf1a-7831cd5c9b51 · outbound

This paper cites Real-time dynamics of the $O(4)$ scalar theory within the fRG approach.

Solving Functional Renormalization Group Equations with Neural Networks Real-time dynamics of the $O(4)$ scalar theory within the fRG approach

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.546262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a7c12a-3b41-4b3b-945f-882b26525174 · outbound

This paper cites Hohenberg and B.

Solving Functional Renormalization Group Equations with Neural Networks Hohenberg and B

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.672583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41fa34f7-43bf-493e-85a0-786c0f10a3db · outbound

This paper cites an unresolved cited work.

Solving Functional Renormalization Group Equations with Neural Networks Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.770273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f58f02e-ce5a-4865-9ae9-faa6b134a5ee · outbound

This paper cites an unresolved cited work.

Solving Functional Renormalization Group Equations with Neural Networks Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.884530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a0c3a51-f4f5-43df-aaee-49d8a894ceff · outbound

This paper cites Falcon and The PyTorch Lightning team, PyTorch Lightning (2019), version 1.4, software.

Solving Functional Renormalization Group Equations with Neural Networks Falcon and The PyTorch Lightning team, PyTorch Lightning (2019), version 1.4, software

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:29.960039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0feae9ff-7dc3-4a28-9826-f7686b7c4448 · outbound

This paper cites Criticality of the $O(N)$ universality via global solutions to nonperturbative fixed-point equations.

Solving Functional Renormalization Group Equations with Neural Networks Criticality of the $O(N)$ universality via global solutions to nonperturbative fixed-point equations

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.018286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b636bc19-ae65-4d8d-a3ce-cd6715987f40 · outbound

This paper cites Tancik, P.

Solving Functional Renormalization Group Equations with Neural Networks Tancik, P

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.100344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b141a3-5e77-46dd-ad27-5b4a5dec5807 · outbound

This paper cites an unresolved cited work.

Solving Functional Renormalization Group Equations with Neural Networks Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.154127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c483c21-d6e0-46bf-bc47-03328251b43d · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Solving Functional Renormalization Group Equations with Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.232420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d29d2e-0531-4bd2-82fc-3b55a692b50f · outbound

This paper cites Physics-informed renormalisation group flows.

Solving Functional Renormalization Group Equations with Neural Networks Physics-informed renormalisation group flows

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.334673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073e7edf-2f72-45ae-bfac-433b7c0cbd13 · outbound

This paper cites Ihssen, R.

Solving Functional Renormalization Group Equations with Neural Networks Ihssen, R

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.452376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8f0c39-fe98-4a6b-b6c9-3fa63a674e00 · outbound

This paper cites Physics-informed operator flows and observables.

Solving Functional Renormalization Group Equations with Neural Networks Physics-informed operator flows and observables

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.578739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a8f49f9-fa8b-40de-a018-7f146746c5f9 · outbound

This paper cites Ihssen, R.

Solving Functional Renormalization Group Equations with Neural Networks Ihssen, R

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.643147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 589d43ef-d5df-4458-899a-b9fc19515b8c · outbound

This paper cites Tan, W.-j.

Solving Functional Renormalization Group Equations with Neural Networks Tan, W.-j

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.745172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd394768-eb39-44cb-bf29-a96d905738e3 · outbound

This paper cites Critical dynamics within the real-time fRG approach.

Solving Functional Renormalization Group Equations with Neural Networks Critical dynamics within the real-time fRG approach

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:30.792529Z

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