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首页> 外文期刊>The Journal of Chemical Physics >A reversible minimum-to-minimum mapping method for the calculation of free-energy differences
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A reversible minimum-to-minimum mapping method for the calculation of free-energy differences

机译:可逆的最小到最小映射方法,用于计算自由能差异

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A general method is introduced for the calculation of the free-energy difference between two systems,0 and 1,with configuration spaces OMEGA~((0)),OMEGA~((1)) of the same dimensionality.The method relies upon establishing a bijective mapping between disjoint subsets GAMMA_i~((0)) of OMEGA~((0)) and corresponding disjoint subsets GAMMA_i~((1)) of OMEGA~((1)) and averaging a function of the ratio of configurational integrals over GAMMA_i~((0)) and GAMMA_i~((1)) with respect to the probability densities of the two systems.The mapped subsets GAMMA_i~((0)) and GAMMA_i~((1)) need not span the entire configuration spaces OMEGA~((0)) and OMEGA~((1)).The method is applied for the calculation of the excess chemical potential mu~(ex) in a Lennard-Jones (LJ) fluid.In this case,OMEGA~((0)) is the configuration space of a (N-1) real molecule plus one ideal-gas molecule system,while OMEGA~((1)) is the configuration space of a N real molecule system occupying the same volume.GAMMA_i~((0)) and GAMMA_i~((1)) are constructed from hyperspheres of the same radius centered at minimum-energy configurations of a set of "active" molecules lying within distance a from the ideal-gas molecule and the last real molecule,respectively.An algorithm is described for sampling GAMMA_i~((0)) and GAMMA_i~((1)) given a point in OMEGA~((0)) or in OMEGA~((1)).The algorithm encompasses three steps: "quenching" (minimization with respect to the active-molecule degrees of freedom),"mutation" (gradual conversion of the ideal-gas molecule into a real molecule,with simultaneous minimization of the energy with respect to the active-molecule degrees of freedom),and "excitation" (generation of points on a hypersphere centered at the active-molecule energy minimum).These steps are also carried out in reverse,as required by the bijective nature of the mapping.The mutation step,which establishes a reversible mapping between energy minima with respect to the active degrees of freedom of systems 0 and 1,ensures that excluded volume interactions emerging in the process of converting the ideal-gas molecule into a real molecule are relieved through appropriate rearrangement of the surrounding active molecules.Thus,the insertion problem plaguing traditional methods for the calculation of chemical potential at high densities is alleviated.Results are presented at two state points of the LJ system for a variety of radii a of the active domain.It is shown that the estimated values of mu~(ex) are correct in all cases and subject to an order of magnitude lower statistical uncertainty than values based on the same number of Widom [J.Chem.Phys.39,2808 (1963)] insertions at high fluid densities.Optimal settings for the new algorithm are identified and distributions of the quantities involved in it [number of active molecules,energy at the sampled minima of systems 0 and 1,and free-energy differences between subsets GAMMA_i~((0)) and GAMMA_i~((1)) that are mapped onto each other] are explored.
机译:介绍了一种通用方法,用于计算具有相同维数的配置空间OMEGA〜((0)),OMEGA〜((1))的两个系统0和1之间的自由能差。 OMEGA〜((0))的不相交子集GAMMA_i〜((0))和OMEGA〜((1))的不相交子集GAMMA_i〜((1))之间的双射映射,并求和配置积分比的函数的平均值相对于两个系统的概率密度而言,在GAMMA_i〜((0))和GAMMA_i〜((1))上.GAMMA_i〜((0))和GAMMA_i〜((1))的映射子集不需要跨越整个系统配置空间OMEGA〜((0))和OMEGA〜((1))。该方法用于计算Lennard-Jones(LJ)流体中的过量化学势mu〜(ex)。 〜((0))是一个(N-1)实分子加上一个理想气体分子系统的构型空间,而OMEGA〜((1))是一个占据相同体积的N实分子系统的构型空间。 GAMMA_i〜((0))和GAMMA_i〜 ((1))由半径相同的超球体构成,该超球体分别以与理想气体分子和最后一个实际分子相距a的一组“活性”分子的最小能量构型为中心。给定OMEGA〜((0))或OMEGA〜((1))中的一个点,对GAMMA_i〜(((0))和GAMMA_i〜((1))进行采样。该算法包括三个步骤:``淬火''(相对于最小到活性分子的自由度),“突变”(理想气体分子逐渐转变为真实分子,同时相对于活性分子的自由度将能量最小化)和“激发”(在超球体上以活性分子最小能量为中心生成点)。根据映射的双射性质的要求,这些步骤也可以反向执行。突变步骤可以在相对于能量的最小值之间建立可逆映射系统0和1的有效自由度确保通过将周围的活性分子进行适当的重排,可以缓解理想气体分子转化为真实分子过程中出现的体积相互作用,从而缓解了困扰高密度化学势计算方法的传统插入问题。分别在LJ系统的两个状态点上针对活动域的各种半径进行了介绍,结果表明mu_(ex)的估计值在所有情况下都是正确的,并且比统计不确定性低一个数量级值基于相同的Widom [J.Chem.Phys.39,2808(1963)]在高流体密度下的插入数。确定新算法的最佳设置,并确定新算法涉及的数量分布[活性分子的数量,探索了系统0和1的采样最小值处的能量差,以及映射到彼此的子集GAMMA_i〜((0))和GAMMA_i〜((1))之间的自由能差]。

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