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The success of enhanced sampling molecular simulations that accelerate along collective variables (CVs) is predicated on the availability of variables coincident with the slow collective motions governing the long-time conformational…

Machine Learning · Statistics 2019-06-04 Wei Chen , Hythem Sidky , Andrew L Ferguson

The derivation of a linear fractional representation (LFR) model for a flexible, spinning and uniform Euler-Bernoulli beam is accomplished using the {Lagrange} technique, fully capturing the centrifugal force generated by the spinning…

Systems and Control · Electrical Eng. & Systems 2024-02-01 Ricardo Rodrigues , Daniel Alazard , Francesco Sanfedino , Tommaso Mauriello , Paolo Iannelli

We discuss spectral correlations in coarse-grained chaotic two-dimensional CFTs with large central charge. We study a partition function describing the dense part of the spectrum of primary states in a way that disentangles the chaotic…

High Energy Physics - Theory · Physics 2023-10-05 Felix M. Haehl , Charles Marteau , Wyatt Reeves , Moshe Rozali

The vorticity random field of turbulent flow is singled out as the main dynamical variable for the description of turbulence, and the evolution equation of the probability density function (PDF) of the vorticity field has been obtained.…

Fluid Dynamics · Physics 2022-02-23 Jiawei Li , Zhongmin Qian , Mingrui Zhou

We develop a recursive method for perturbative solutions of the Fokker-Planck equation with nonlinear drift. The series expansion of the time-dependent probability density in terms of powers of the coupling constant is obtained by solving a…

Statistical Mechanics · Physics 2009-12-06 Jens Dreger , Axel Pelster , Bodo Hamprecht

AGN exhibit rapid, high amplitude stochastic flux variations across the entire electromagnetic spectrum on timescales ranging from hours to years. The cause of this variability is poorly understood. We present a Green's Function-based…

Astrophysics of Galaxies · Physics 2017-07-26 Vishal P. Kasliwal , Michael S. Vogeley , Gordon T. Richards

Determining evolution equations governing the probability density function (pdf) of non-Markovian responses to random differential equations (RDEs) excited by coloured noise, is an important issue arising in various problems of stochastic…

Mathematical Physics · Physics 2019-07-25 K. I. Mamis , G. A. Athanassoulis , Z. G. Kapelonis

The low-frequency vibrations of glasses are markedly different from those of crystals. These vibrations have recently been categorized into two types: spatially extended vibrations, whose vibrational density of states (vDOS) follows a…

Soft Condensed Matter · Physics 2020-08-14 Masanari Shimada , Hideyuki Mizuno , Atsushi Ikeda

We establish the Gauss-Green formula for extended divergence-measure fields (i.e., vector-valued measures whose distributional divergences are Radon measures) over open sets. We prove that, for almost every open set, the normal trace is a…

Analysis of PDEs · Mathematics 2024-10-15 Gui-Qiang G. Chen , Christopher Irving , Monica Torres

The vibrational averaging module of the Dalton Project was extended to work also with the Amsterdam Density Functional (ADF) program, making it possible to calculate vibrational corrections to properties and at the same time include a…

Chemical Physics · Physics 2025-09-17 Louise Møller Jessen , Ronan Gleeson , Lars Hemmingsen , Stephan P. A. Sauer

In the previous paper \cite{J1}, we established pointwise bounds for the Green function of the linearized equation associated with spatially periodic traveling waves $\bar u$ of a system of reaction diffusion equations, and also obtained…

Analysis of PDEs · Mathematics 2012-10-23 Soyeun Jung

In this article, we present molecular dynamics study of the velocity autocorrelation function (VACF) of a Brownian particle. We compare the results of the simulation with the exact analytic predictions for a compressible fluid from [6] and…

Soft Condensed Matter · Physics 2012-04-23 D. Chakraborty

This paper presents a robust version of the stratified sampling method when multiple uncertain input models are considered for stochastic simulation. Various variance reduction techniques have demonstrated their superior performance in…

Optimization and Control · Mathematics 2023-06-16 Seung Min Baik , Eunshin Byon , Young Myoung Ko

Viewing frames of reference as physical systems, subject to the same laws as the systems they describe, is central to the relational approach in physics. Under the assumption that quantum mechanics universally governs all physical entities,…

Quantum Physics · Physics 2025-04-22 Michael Suleymanov , Avishy Carmi , Eliahu Cohen

We develop a simple and unified framework for nonlinear variable selection that incorporates uncertainty in the prediction function and is compatible with a wide range of machine learning models (e.g., tree ensembles, kernel methods, neural…

Machine Learning · Statistics 2022-05-30 Wenying Deng , Beau Coker , Rajarshi Mukherjee , Jeremiah Zhe Liu , Brent A. Coull

As molecular dynamics is increasingly used to characterize non-crystalline materials, it is crucial to verify that the numerical model is accurate enough, consistent with experimental data and can be used to extract various characteristics…

Disordered Systems and Neural Networks · Physics 2008-11-17 F. Gaspari , I. M. Kupchak , A. I. Shkrebtii , J. M. Perz

We present a simple, perturbative approach for calculating spectral densities for random matrix ensembles in the thermodynamic limit we call the Perturbative Resolvent Method (PRM). The PRM is based on constructing a linear system of…

Disordered Systems and Neural Networks · Physics 2020-12-02 Wenping Cui , Jason W. Rocks , Pankaj Mehta

Neural radiance fields (NeRF) rely on volume rendering to synthesize novel views. Volume rendering requires evaluating an integral along each ray, which is numerically approximated with a finite sum that corresponds to the exact integral…

Computer Vision and Pattern Recognition · Computer Science 2024-01-22 Mikaela Angelina Uy , Kiyohiro Nakayama , Guandao Yang , Rahul Krishna Thomas , Leonidas Guibas , Ke Li

The quantum correlations of $N$ noninteracting spinless fermions in their ground state can be expressed in terms of a two-point function called the kernel. Here we develop a general and compact method for computing the kernel in a general…

Statistical Mechanics · Physics 2021-03-05 David S. Dean , Pierre Le Doussal , Satya N. Majumdar , Gregory Schehr , Naftali R. Smith

We study the spectral function of interacting one-dimensional fermions for an integrable lattice model away from half-filling. The divergent power-law singularity of the spectral function near the single-particle or single-hole energy is…

Strongly Correlated Electrons · Physics 2009-04-24 Rodrigo G. Pereira , Steven R. White , Ian Affleck