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相关论文: Intrinsic Mean Square Displacements in Proteins

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A Suydam-unstable circular cylinder of plasma with periodic boundary conditions in the axial direction is studied within the approximation of linearized ideal magnetohydrodynamics (MHD). The normal mode equations are completely separable,…

等离子体物理 · 物理学 2009-11-10 R. L. Dewar , T. Tatsuno , Z. Yoshida , C. Nuehrenberg , B. F. McMillan

The relationship for Pulsed-Field-Gradient NMR between the amplitude $I(t)$ of the spin echo and the molecular displacement ${\bf X}(t)$ is examined. $I(t)$ of a single species in a simple solution is determined by the mean-square…

软凝聚态物质 · 物理学 2011-02-23 George D. J. Phillies

By using the heat kernel parameter expansion with respect to the frozen SDEs, the intrinsic derivative is estimated for the law of Mckean-Vlasov SDEs with respect to the initial distribution. As an application, the total variation distance…

概率论 · 数学 2020-07-01 Xing Huang , Feng-Yu Wang

We study the learning dynamics of a multi-pass, mini-batch Stochastic Gradient Descent (SGD) procedure for empirical risk minimization in high-dimensional multi-index models with isotropic random data. In an asymptotic regime where the…

机器学习 · 统计学 2026-02-19 Zhou Fan , Leda Wang

In this paper we discuss recent applications of the Smoothed Particle Hydrodynamics (SPH) method to the simulation of supersonic turbulence in the interstellar medium, as well as giving an update on recent algorithmic developments in…

天体物理仪器与方法 · 物理学 2010-02-26 Daniel J. Price , Christoph Federrath

Recent studies attracted the attention on the inherent structure landscape (ISL) approach as a reduced description of proteins allowing to map their full thermodynamic properties. However, the analysis has been so far limited to a single…

统计力学 · 物理学 2009-12-22 Johannnes-Geert Hagmann , Naoko Nakagawa , Michel Peyrard

Using a combination of dielectric spectroscopy and solid-state deuteron NMR, the hydration water dynamics of connective tissue proteins is studied at sub-ambient temperatures. In this range, the water dynamics follows an Arrhenius law. A…

软凝聚态物质 · 物理学 2015-05-18 Sorin A. Lusceac , Markus Rosenstihl , Michael Vogel , Catalin Gainaru , Ariane Fillmer , Roland Böhmer

De novo prediction of protein folding is an open scientific challenge. Many folding models and force fields have been developed, yet all face difficulties converging to native conformations. Hydrophobicity scales (HSs) play a crucial role…

生物大分子 · 定量生物学 2017-12-05 Boris Haimov , Simcha Srebnik

We consider a classic two-state switching diffusion model from a single-particle tracking perspective. The mean and the variance of the time-averaged mean square displacement (TAMSD) are computed exactly. When the measurement time (i.e.,…

统计力学 · 物理学 2019-11-05 Denis S. Grebenkov

We use dynamic nuclear polarization (DNP) enhanced nuclear magnetic resonance (NMR) at liquid helium temperatures to directly detect hydrogen attached to the surface of silicon microparticles. The proton NMR spectrum from a dry sample of…

材料科学 · 物理学 2017-06-08 Mallory L. Guy , Kipp J. van Schooten , Lihuang Zhu , Chandrasekhar Ramanathan

Laminar natural convection from two horizontally aligned isothermal cylinders in unconfined Power-law fluids has been investigated numerically. The effect of horizontal spacing (0<=(S/D)<=10) on both momentum and heat transfer…

流体动力学 · 物理学 2021-07-08 Subhasisa Rath , Sukanta K. Dash

MHD waves permeate the solar atmosphere and constitute potential coronal heating agents. Yet, the waves detected so far may be but a small subset of the true existing wave power. Detection is limited by instrumental constraints, but also by…

太阳与恒星天体物理 · 物理学 2017-02-03 Patrick Antolin , Ineke De Moortel , Tom Van Doorsselaere , Takaaki Yokoyama

We present a novel method of magnetohydrodynamics (MHD) within the smoothed particle hydrodynamics scheme using the Geometric Density average force expression (GDSPH). GDSPH has recently been shown to reduce the leading order errors and…

天体物理仪器与方法 · 物理学 2020-07-31 Robert Wissing , Sijing Shen

Finding meaningful distances between high-dimensional data samples is an important scientific task. To this end, we propose a new tree-Wasserstein distance (TWD) for high-dimensional data with two key aspects. First, our TWD is specifically…

机器学习 · 计算机科学 2025-02-25 Ya-Wei Eileen Lin , Ronald R. Coifman , Gal Mishne , Ronen Talmon

A Langevin process diffusing in a periodic potential landscape has a time dependent diffusion constant which means that its average mean squared displacement (MSD) only becomes linear at late times. The long time, or effective diffusion…

统计力学 · 物理学 2015-06-19 David S. Dean , Gleb Oshanin

The mean square displacement and instantaneous diffusion coefficient for different configurations of charged particles in stochastic motion are calculated by numerically solving the associated equations of motion. The method is suitable for…

统计力学 · 物理学 2019-06-26 Gabriela Raluca Mocanu

We present a new framework to quantify the effect of hydrogen on dislocations using large scale three-dimensional (3D) discrete dislocation dynamics (DDD) simulations. In this model, the first order elastic interaction energy associated…

材料科学 · 物理学 2018-01-31 Yejun Gu , Jaafar A. El-Awady

In this Letter, four-point magnetotransport of high mobility InGaAs/InP heterointerfaces is measured from 1.6 K to 300 K and from 0 to 15 T, and an analysis is shown whereby the mobility and density of the two-dimensional (2D) accumulation…

介观与纳米尺度物理 · 物理学 2011-01-26 Yang Tang , Chuanle Zhou , M. Grayson

We derive two new forms of the K\'arm\'an-Howarth-Monin equation for decaying compressible Hall magnetohydrodynamic (MHD) turbulence. We test them on results of a weakly-compressible, two-dimensional, moderate-Reynolds-number Hall MHD…

Tracking of particles, be it a passive tracer or an actively moving bacterium in the growing bacterial colony, is a powerful technique to probe the physical properties of the environment of the particles. One of the most common measures of…

数据分析、统计与概率 · 物理学 2018-02-09 Wolfram Pönisch , Vasily Zaburdaev