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相关论文: On assessing the accuracy of defect free energy co…

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Coarse-grained models are a core computational tool in theoretical chemistry and biophysics. A judicious choice of a coarse-grained model can yield physical insight by isolating the essential degrees of freedom that dictate the…

统计力学 · 物理学 2023-04-12 Shriram Chennakesavalu , David J. Toomer , Grant M. Rotskoff

We present a real-space formulation for coarse-graining Kohn-Sham Density Functional Theory that significantly speeds up the analysis of material defects without appreciable loss of accuracy. The approximation scheme consists of two steps.…

计算物理 · 物理学 2015-06-11 Phanish Suryanarayana , Kaushik Bhattacharya , Michael Ortiz

Exact free energy minimization is a convex optimization problem that is usually approximated with stochastic sampling methods. Deterministic approximations have been less successful because many desirable properties have been difficult to…

计算物理 · 物理学 2016-03-17 Jonathan E. Moussa

The large time and length scales and, not least, the vast number of particles involved in industrial-scale simulations inflate the computational costs of the Discrete Element Method (DEM) excessively. Coarse grain models can help to lower…

计算物理 · 物理学 2017-05-11 Daniel Queteschiner , Thomas Lichtenegger , Simon Schneiderbauer , Stefan Pirker

We present a unified framework for the calculation of defect energies for those defects that can be represented as a superposition of isolated dislocations, and obtain both self and interaction energies of combinations of grain boundaries…

材料科学 · 物理学 2007-05-23 J. M. Rickman , J. Vinals , R. LeSar

Ensuring a satisfactory statistical convergence of anharmonic thermodynamic properties requires sampling of many atomic configurations, however the methods to obtain those necessarily produce correlated samples, thereby reducing the…

统计力学 · 物理学 2022-06-07 Erki Metsanurk

We present a differentiable formalism for learning free energies that is capable of capturing arbitrarily complex model dependencies on coarse-grained coordinates and finite-temperature response to variation of general system parameters.…

Defects determine many important properties and applications of materials, ranging from doping in semiconductors, to conductivity in mixed ionic-electronic conductors used in batteries, to active sites in catalysts. The theoretical…

材料科学 · 物理学 2024-04-17 Irea Mosquera-Lois , Seán R. Kavanagh , Johan Klarbring , Kasper Tolborg , Aron Walsh

Continuous conformal transformation minimizes the conformal energy. The convergence of minimizing discrete conformal energy when the discrete mesh size tends to zero is an open problem. This paper addresses this problem via a careful error…

数值分析 · 数学 2022-10-21 Zhenyue Zhang , Zhong-Heng Tan

One reason that free energy difference calculations are notoriously difficult in molecular systems is due to insufficient conformational overlap, or similarity, between the two states or systems of interest. The degree of overlap is…

生物物理 · 物理学 2009-11-11 F. Marty Ytreberg , Daniel M. Zuckerman

The construction of accurate interatomic potentials, and related fields of forces, from equilibrium conformational distributions of molecules is a crucial step in coarse-grained modeling. In this work we show that in order to develop…

软凝聚态物质 · 物理学 2025-04-18 J. M. Hall , M. G. Guenza

We perform \emph{ab initio} quantum Monte Carlo (QMC) simulations of the warm dense uniform electron gas in the thermodynamic limit. By combining QMC data with linear response theory we are able to remove finite-size errors from the…

等离子体物理 · 物理学 2016-11-09 Tobias Dornheim , Simon Groth , Travis Sjostrom , Fionn D. Malone , W. M. C. Foulkes , Michael Bonitz

We present recent results on coarse-graining techniques for thermodynamic quantities (canonical averages) and dynamical quantities (averages of path functionals over solutions of overdamped Langevin equations). The question is how to obtain…

概率论 · 数学 2010-08-24 Frederic Legoll , Tony Lelievre

Structural and thermodynamic consistency of coarse-graining models across multiple length scales is essential for the predictive role of multi-scale modeling and molecular dynamic simulations that use mesoscale descriptions. Our approach is…

软凝聚态物质 · 物理学 2014-07-04 J. McCarty , A. J. Clark , J. Copperman , M. G. Guenza

We analyse the finite-size corrections to the free energy of crystals with a fixed center of mass. When we explicitly correct for the leading ($\ln N/N$) corrections, the remaining free energy is found to depend linearly on 1/N.…

统计力学 · 物理学 2009-10-31 J. M. Polson , E. Trizac , S. Pronk , D. Frenkel

A dynamic symmetry-breaking transition with noise and inertia is analyzed. Exact solution of the linearized equation that describes the critical region allows precise calculation (exponent and prefactor) of the number of defects produced as…

凝聚态物理 · 物理学 2009-10-31 Esteban Moro , Grant Lythe

Fast and accurate evaluation of free energy has broad applications from drug design to material engineering. Computing the absolute free energy is of particular interest since it allows the assessment of the relative stability between…

统计力学 · 物理学 2021-02-24 Xinqiang Ding , Bin Zhang

We consider (2+1)-QFT at finite temperature on a product of time with a static spatial geometry. The suitably defined difference of thermal vacuum free energy for the QFT on a deformation of flat space from its value on flat space is a UV…

高能物理 - 理论 · 物理学 2020-01-10 Krai Cheamsawat , Lucas Wallis , Toby Wiseman

The deformed energy method has shown to be a good option for dimensional synthesis of mechanisms. In this paper the introduction of some new features to such approach is proposed. First, constraints fixing dimensions of certain links are…

数值分析 · 数学 2024-02-09 V. Garcia-Marina , I. Fernandez de Bustos , G. Urkullu , R. Ansola

Obtaining the free energies of condensed phase chemical reactions remains computationally prohibitive for high-level quantum mechanical methods. We introduce a hierarchical machine learning framework that bridges this gap by distilling…

化学物理 · 物理学 2026-03-19 Chenghan Li , Garnet Kin-Lic Chan
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