Building Water Models, A Different Approach
Saeed Izadi, Ramu Anandakrishnan, and Alexey V. Onufriev

TL;DR
This paper introduces a novel water model, OPC, optimized through an analytical approach to better replicate bulk water properties and hydration energies, surpassing traditional models in accuracy and temperature range.
Contribution
The paper presents a new point charge water model optimized via analytical equations, improving accuracy over existing models without geometric constraints.
Findings
OPC model achieves 0.76% average error relative to experiment.
OPC accurately predicts hydration free energies with RMS error < 1 kcal/mol.
Model maintains close agreement with experimental data across various temperatures.
Abstract
Simplified, classical models of water are an integral part of atomistic molecular simulations, especially in biology and chemistry where hydration effects are critical. Yet, despite several decades of effort, these models are still far from perfect. Presented here is an alternative approach to constructing point charge water models - currently, the most commonly used type. In contrast to the conventional approach, we do not impose any geometry constraints on the model other than symmetry. Instead, we optimize the distribution of point charges to best describe the "electrostatics" of the water molecule, which is key to many unusual properties of liquid water. The search for the optimal charge distribution is performed in 2D parameter space of key lowest multipole moments of the model, to find best fit to a small set of bulk water properties at room temperature. A virtually exhaustive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
