arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2609.10519cond-mat.stat-mechcond-mat.soft

非平衡自由能计算的最优中间哈密顿量:马尔可夫模型的数值研究

Optimal Intermediate Hamiltonians for Non-Equilibrium Free Energy Calculations: A Numerical Study of Markov Models

David Beyer, Helmut Grubmüller

首次发表
浏览论文内容

中文总结 AI 辅助

本研究通过数值方法确定最优中间哈密顿量以最小化Jarzynski估计器的均方误差,在马尔可夫模型中显著提升非平衡自由能计算的收敛性,并发现最优中间体在初始和最终时刻跳跃。

中文摘要 AI 辅助

Jarzynski关系使得从非平衡、有限时间的切换模拟中估计平衡自由能差异成为可能。这些估计通常收敛缓慢,因为稀有轨迹主导了指数功平均值。在这里,我们通过数值方法确定并探索了连接初始和最终状态的中间哈密顿量序列,该序列最小化Jarzynski估计器的均方误差(MSE),从而增强收敛性。对于离散时间马尔可夫模型,在大样本极限下,MSE的精确倾斜主方程表示结合自动微分,能够对所有中间能量进行高效的基于梯度的最小化。我们将我们的方法应用于三个复杂度递增的模型系统:双态模型、双阱势和偏移势阱。在所有三个系统中,最优中间哈密顿量在初始和最终时刻发生跳跃。广泛的蒙特卡洛模拟表明,与线性和对数插值相比,最优中间体可以将MSE降低一个数量级以上,在能量景观变化较大时效果最为显著。值得注意的是,它们不一定比产生较大误差的中间体耗散更少的功。我们的结果为实现真实分子系统的更高效非平衡自由能计算提供了启发式方法:最优中间哈密顿量在初始和最终时刻跳跃;对于跨越能垒问题,应快速降低能垒并在之后再次升高;最小化耗散并不保证更快的收敛。

英文摘要

The Jarzynski relation enables the estimation of equilibrium free energy differences from non-equilibrium, finite-time switching simulations. These estimates usually converge poorly because rare trajectories dominate the exponential work average. Here, we numerically determined and explored the sequence of intermediate Hamiltonians connecting initial and final states that minimize the mean squared error (MSE) of the Jarzynski estimator and thereby enhance convergence. For discrete-time Markov models, an exact tilted-master-equation representation of the MSE in the large-sample limit, combined with automatic differentiation, enables efficient gradient-based minimization over all intermediate energies. We applied our approach to three model systems of increasing complexity: a two-state model, a double-well potential, and a shifted potential well. In all three systems, the optimal intermediate Hamiltonians jump at the initial and final times. Extensive Monte Carlo simulations show that optimal intermediates can reduce the MSE by more than an order of magnitude compared with linear and logarithmic interpolation, most strongly for large changes in the energy landscape. Remarkably, they need not dissipate less work than intermediates yielding larger errors. Our results suggest heuristics for more efficient non-equilibrium free energy calculations of realistic molecular systems: optimal intermediate Hamiltonians jump at the initial and final times; for barrier-crossing problems, the barrier should be lowered rapidly and raised again later; and minimizing dissipation does not guarantee faster convergence.

发表机构

  • Max Planck Institute for Multidisciplinary Sciences(马克斯·普朗克多学科科学研究所)

机构由 AI 辅助整理,请以论文原文为准。

补充信息

↑