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Description
Publication abstract: Dinitrogen pentoxide (N2O5) is an important intermediate in the atmospheric chemistry of nitrogen oxides. Although there has been much research, the processes that govern the physical interactions between N2O5 and water are still not fully understood at a molecular level. Gaining quantitative insight from computer simulations requires going beyond the accuracy of classical force fields, while accessing length scales and time scales that are out of reach for high-level quantum chemical approaches. To this end we present the development of MB-nrg many-body potential energy functions for simulations of N2O5 in water. This MB-nrg model is based on electronic structure calculations at the coupled cluster level of theory and is compatible with the successful MB-pol model for water. It provides a physically correct description of long-range many-body interactions in combination with an explicit representation of up to three-body short-range interactions in terms of multidimensional permutationally invariant polynomials. In order to further investigate the importance of the underlying interactions in the model, a TTM-nrg model was also devised. TTM- nrg is a more simplistic representation that contains only two-body short-range interactions represented through Born-Mayer functions. In this work an active learning approach was employed to efficiently build representative training sets of monomer, dimer and trimer structures, and benchmarks are presented to determine the accuracy of our new models in comparison to a range of density functional theory methods. By assessing binding curves, distortion energies of N2O5, and interaction energies in clusters of N2O5 and water, we evaluate the importance of two-body and three-body short-range potentials. The results demonstrate that our MB-nrg model has high accuracy with respect to the coupled cluster reference, outperforms current density functional theory models, and thus enables highly accurate simulations of N2O5 in aqueous environments. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Cruzeiro, Vinícius Wilian D.; Lambros, Eleftherios; Riera, Marc; Roy, Ronak; Paesani, Francesco; Götz, Andreas W. (2021). Data from: Highly accurate many-body potentials for simulations of N2O5 in water: development and validation. In Center for Aerosol Impacts on Chemistry of the Environment (CAICE). UC San Diego Library Digital Collections. https://doi.org/10.6075/J0KK99B6 This package contains a README file (.txt), the data used to benchmark density functional theory models and coupled cluster methods, the training and test set data to generate MB-nrg models for interactions between dinitrogen pentoxide (N2O5) and water, and the data of the structures of optimized clusters of N2O5 and water.
Type
dataset
Identifier
ark:/20775/bb0142744m
Language
No linguistic content
Subject
Many-Body-energy (MB-nrg) Many-body polarization (MB-pol) Potential energy surface Water Density functional theory calculations N2O5 Many-body potential Dinitrogen pentoxide Benchmarks Coupled cluster calculations
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