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We propose a scenario according to which the ultraviolet completion of General Relativity is realized through a stochastic gradient flow towards a topological BF theory. Specifically, we consider the stochastic gradient flow of a…

General Relativity and Quantum Cosmology · Physics 2026-05-28 Andrea Addazi , Salvatore Capozziello , Jinglong Liu , Antonino Marciano , Giuseppe Meluccio , Xuan-Lin Su

In recent years, group equivariant non-expansive operators (GENEOs) have attracted attention in the fields of Topological Data Analysis and Machine Learning. In this paper we show how these operators can be of use also for the removal of…

Computational Geometry · Computer Science 2023-08-16 Patrizio Frosini , Ivan Gridelli , Andrea Pascucci

Knowledge on evolving physical fields is of paramount importance in science, technology, and economics. Dynamical field inference (DFI) addresses the problem of reconstructing a stochastically driven, dynamically evolving field from finite…

Quantum Physics · Physics 2021-12-22 Margret Westerkamp , Igor Ovchinnikov , Philipp Frank , Torsten Enßlin

In an attempt to derive thermodynamics from classical mechanics, an approximate expression for the equilibrium temperature of a finite system has been derived [M. Bianucci, R. Mannella, B. J. West, and P. Grigolini, Phys. Rev. E 51, 3002…

Statistical Mechanics · Physics 2015-06-24 Artur B. Adib

We critically analyze the possibility of finding signatures of a phase transition by looking exclusively at static quantities of statistical systems, like e.g., the topology of potential energy sub-manifolds (PES). This topological…

Statistical Mechanics · Physics 2009-11-10 Ana C. Ribeiro Teixeira , D. A. Stariolo

A theory is formulated for time dependent fluctuations of the spectrum of a single molecule in a dynamic environment. In particular, we investigate the photon counting statistics of a single molecule undergoing a spectral diffusion process.…

Statistical Mechanics · Physics 2007-05-23 YounJoon Jung , Eli Barkai , Robert J. Silbey

Extrapolation remains a grand challenge in deep neural networks across all application domains. We propose an operator learning method to solve time-dependent partial differential equations (PDEs) continuously and with extrapolation in time…

Machine Learning · Computer Science 2023-12-12 Oded Ovadia , Vivek Oommen , Adar Kahana , Ahmad Peyvan , Eli Turkel , George Em Karniadakis

The phase transition in the mean-field XY model is shown analytically to be related to a topological change in its configuration space. Such a topology change is completely described by means of Morse theory allowing a computation of the…

Statistical Mechanics · Physics 2007-05-23 Lapo Casetti , E. G. D. Cohen , Marco Pettini

Neural ordinary differential equations (ODEs) provide expressive representations of invertible transport maps that can be used to approximate complex probability distributions, e.g., for generative modeling, density estimation, and Bayesian…

Machine Learning · Computer Science 2025-02-07 Youssef Marzouk , Zhi Ren , Jakob Zech

The change of electric power generation - from synchronous generator (SG) to converter - is generally regarded as the second revolution of power system. Different from rotor swing of SG in traditional grids mainly described by the swing…

Systems and Control · Electrical Eng. & Systems 2025-11-12 Meng Zhan , Miao Han , Yayao Zhang , Hongsheng Xu , Jiabing Hu , Shijie Cheng , Jürgen Kurths

We consider the long-time behavior of an explicit tamed Euler scheme applied to a class of stochastic differential equations driven by additive noise, under a one-sided Lipschitz continuity condition. The setting encompasses drift…

Numerical Analysis · Mathematics 2020-10-02 Charles-Edouard Bréhier

Given two distinct subsets $A,B$ in the state space of some dynamical system, Transition Path Theory (TPT) was successfully used to describe the statistical behavior of transitions from $A$ to $B$ in the ergodic limit of the stationary…

Dynamical Systems · Mathematics 2020-11-03 Luzie Helfmann , Enric Ribera Borrell , Christof Schütte , Péter Koltai

Computing properties of molecular systems rely on estimating expectations of the (unnormalized) Boltzmann distribution. Molecular dynamics (MD) is a broadly adopted technique to approximate such quantities. However, stable simulations rely…

Chemical Physics · Physics 2023-10-31 Mathias Schreiner , Ole Winther , Simon Olsson

Stochastic differential equations (SDEs) are a staple of mathematical modelling of temporal dynamics. However, a fundamental limitation has been that such models have typically been relatively inflexible, which recent work introducing…

Machine Learning · Computer Science 2021-05-12 Patrick Kidger , James Foster , Xuechen Li , Harald Oberhauser , Terry Lyons

We discuss the origin of topological defects in phase transitions and analyze their role as a "diagnostic tool" in the study of the non-equilibrium dynamics of symmetry breaking. Homogeneous second order phase transitions are the focus of…

Statistical Mechanics · Physics 2010-03-17 W. H. Zurek , L. M. A. Bettencourt , J. Dziarmaga , N. D. Antunes

This paper explores the regularity properties of an inverse spectral transform for Hilbert--Schmidt Hankel operators on the unit disc. This spectral transform plays the role of action-angles variables for an integrable infinite dimensional…

Analysis of PDEs · Mathematics 2018-08-22 Patrick Gerard , Sandrine Grellier

The $tock$-CSP encoding embeds a rich and flexible approach to modelling discrete timed behaviours in CSP where the event $tock$ is interpreted to mark the passage of time. The model checker FDR provides tailored support for $tock$-CSP,…

Logic in Computer Science · Computer Science 2019-07-19 Pedro Ribeiro , James Baxter , Ana Cavalcanti

I consider a physical system described by a continuous field theory and enclosed in a large but finite cubical box with periodic boundary conditions. The system is assumed to undergo a continuous phase transition at some critical point. The…

Statistical Mechanics · Physics 2009-11-10 Moshe Schwartz

We show that a topological quantum phase transition, generating flat bands and altering Fermi surface topology, is a primary reason for the exotic behavior of the overdoped high-temperature superconductors represented by $\rm…

Superconductivity · Physics 2017-10-11 V. R. Shaginyan , V. A. Stephanovich , A. Z. Msezane , G. S. Japaridze , K. G. Popov

We present a microscopic theory of transport in quasi-periodically driven environments (`kicked rotors'), as realized in recent atom optic experiments. We find that the behavior of these systems depends sensitively on the value of Planck's…

Chaotic Dynamics · Physics 2015-05-27 Chushun Tian , Alexander Altland , Markus Garst
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