scholarly journals Directional Dependence of Hydrogen Bonds: A Density-Based Energy Decomposition Analysis and Its Implications on Force Field Development

2011 ◽  
Vol 7 (12) ◽  
pp. 4038-4049 ◽  
Author(s):  
Zhenyu Lu ◽  
Nengjie Zhou ◽  
Qin Wu ◽  
Yingkai Zhang
Keyword(s):  
Hydrogen Bonds ◽  
Force Field ◽  
Decomposition Analysis ◽  
Energy Decomposition Analysis ◽  
Energy Decomposition ◽  
Directional Dependence ◽  
Field Development ◽  
Force Field Development

scholarly journals Intramolecular Hydrogen Bond Energy and Its Decomposition—O–H∙∙∙O Interactions

Crystals ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 5
Author(s):  
Sławomir J. Grabowski
Keyword(s):  
Hydrogen Bond ◽  
Hydrogen Bonds ◽  
Intramolecular Hydrogen Bond ◽  
Bond Energy ◽  
Decomposition Analysis ◽  
Energy Decomposition Analysis ◽  
Energy Decomposition ◽  
Intermolecular Hydrogen Bonds ◽  
Hydrogen Bond Energy ◽  
Intramolecular Hydrogen

The method to calculate the energy of intramolecular hydrogen bond is proposed and tested for a sample of malonaldehyde and its fluorine derivatives; the corresponding calculations were performed at the ωB97XD/aug-cc-pVTZ level. This method based on relationships found for related intermolecular hydrogen bonds is compared with other approaches which may be applied to estimate the intramolecular hydrogen bond energy. Particularly, methods based on the comparison of the system that contains the intramolecular hydrogen bond compared with corresponding conformations where such interaction does not occur are discussed. The function-based energy decomposition analysis, FB-EDA, of the intramolecular hydrogen bonds is also proposed here.

scholarly journals Development of an Advanced Force Field for Water Using Variational Energy Decomposition Analysis

2019 ◽  
Vol 15 (9) ◽  
pp. 5001-5013 ◽  
Author(s):  
Akshaya K. Das ◽  
Lars Urban ◽  
Itai Leven ◽  
Matthias Loipersberger ◽  
Abdulrahman Aldossary ◽  
...  
Keyword(s):  
Force Field ◽  
Decomposition Analysis ◽  
Energy Decomposition Analysis ◽  
Energy Decomposition

Driving Torsion Scans with Wavefront Propagation

2020 ◽  
Author(s):  
Yudong Qiu ◽  
Daniel Smith ◽  
Chaya Stern ◽  
mudong feng ◽  
Lee-Ping Wang
Keyword(s):  
Potential Energy ◽  
Force Field ◽  
Degrees Of Freedom ◽  
Computational Cost ◽  
Initial Guess ◽  
Field Development ◽  
Force Field Development ◽  
Wavefront Propagation ◽  
Open Source Software Package

<div>The parameterization of torsional / dihedral angle potential energy terms is a crucial part of developing molecular mechanics force fields.</div><div>Quantum mechanical (QM) methods are often used to provide samples of the potential energy surface (PES) for fitting the empirical parameters in these force field terms.</div><div>To ensure that the sampled molecular configurations are thermodynamically feasible, constrained QM geometry optimizations are typically carried out, which relax the orthogonal degrees of freedom while fixing the target torsion angle(s) on a grid of values.</div><div>However, the quality of results and computational cost are affected by various factors on a non-trivial PES, such as dependence on the chosen scan direction and the lack of efficient approaches to integrate results started from multiple initial guesses.</div><div>In this paper we propose a systematic and versatile workflow called \textit{TorsionDrive} to generate energy-minimized structures on a grid of torsion constraints by means of a recursive wavefront propagation algorithm, which resolves the deficiencies of conventional scanning approaches and generates higher quality QM data for force field development.</div><div>The capabilities of our method are presented for multi-dimensional scans and multiple initial guess structures, and an integration with the MolSSI QCArchive distributed computing ecosystem is described.</div><div>The method is implemented in an open-source software package that is compatible with many QM software packages and energy minimization codes.</div>

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