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On the analytical representation of free energy profiles with a Morse/longrange model: Application to the water dimer

机译:用摩尔斯/长距离模型分析自由能曲线的解析表示:在水二聚体中的应用

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We investigate the analytical representation of potentials of mean force (pmf) using the Morse/longrange (MLR) potential approach. The MLR method had previously been used to represent potential energy surfaces, and we assess its validity for representing free-energies. The advantage of the approach is that the potential of mean force data only needs to be calculated in the short to medium range region of the reaction coordinate while the long range can be handled analytically. This can result in significant savings in terms of computational effort since one does not need to cover the whole range of the reaction coordinate during simulations. The water dimer with rigid monomers whose interactions are described by the commonly used TIP4P model [W. Jorgensen and J. Madura, Mol. Phys. 56, 1381 (1985)] is used as a test case. We first calculate an "exact" pmf using direct Monte Carlo (MC) integration and term such a calculation as our gold standard (GS). Second, we compare this GS with several MLR fits to the GS to test the validity of the fitting procedure. We then obtain the water dimer pmf using metadynamics simulations in a limited range of the reaction coordinate and show how the MLR treatment allows the accurate generation of the full pmf.We finally calculate the transition state theory rate constant for the water dimer dissociation process using the GS, the GS MLR fits, and the metadynamics MLR fits. Our approach can yield a compact, smooth, and accurate analytical representation of pmf data with reduced computational cost.
机译:我们使用莫尔斯/远程(MLR)势能方法研究平均力势(pmf)的解析表示。 MLR方法以前曾用于表示势能面,我们评估了其表示自由能的有效性。该方法的优点是,仅需要在反作用力坐标的中短范围内计算平均力数据的潜力,而长程可以通过分析来处理。由于不需要在模拟过程中覆盖反应坐标的整个范围,因此可以节省大量的计算工作量。具有刚性单体的水二聚体,其相互作用由常用的TIP4P模型描述[W.约尔根森和马杜拉J.物理56,1381(1985)]用作测试用例。我们首先使用直接蒙特卡洛(MC)积分计算“精确” pmf,并将这种计算称为“黄金标准”(GS)。其次,我们将此GS与GS的多个MLR拟合进行比较,以测试拟合过程的有效性。然后,我们在有限的反应坐标范围内使用元动力学模拟获得水二聚体pmf,并展示了MLR处理如何精确生成完整的pmf。 GS,GS MLR适合,而元动力学MLR适合。我们的方法可以以减少的计算成本生成pmf数据的紧凑,流畅和准确的分析表示。

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