Toward Hamiltonian Adaptive QM/MM: Accurate Solvent Structures Using Many-Body Potentials

Publication date

2016-08-09

Authors

Boereboom, Jelle M.ISNI 0000000419564535
Potestio, Raffaello
Donadio, Davide
Bulo, Rosa E.ISNI 0000000390425928

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

Adaptive quantum mechanical (QM)/molec- ular mechanical (MM) methods enable efficient molecular simulations of chemistry in solution. Reactive subregions are modeled with an accurate QM potential energy expression while the rest of the system is described in a more approximate manner (MM). As solvent molecules diffuse in and out of the reactive region, they are gradually included into (and excluded from) the QM expression. It would be desirable to model such a system with a single adaptive Hamiltonian, but thus far this has resulted in distorted structures at the boundary between the two regions. Solving this long outstanding problem will allow microcanonical adaptive QM/MM simulations that can be used to obtain vibrational spectra and dynamical properties. The difficulty lies in the complex QM potential energy expression, with a many-body expansion that contains higher order terms. Here, we outline a Hamiltonian adaptive multiscale scheme within the framework of many-body potentials. The adaptive expressions are entirely general, and complementary to all standard (nonadaptive) QM/MM embedding schemes available. We demonstrate the merit of our approach on a molecular system defined by two different MM potentials (MM/MM′). For the long-range interactions a numerical scheme is used (particle mesh Ewald), which yields energy expressions that are many-body in nature. Our Hamiltonian approach is the first to provide both energy conservation and the correct solvent structure everywhere in this system.

Keywords

Taverne, SDG 7 - Affordable and Clean Energy

Citation

Boereboom, J M, Potestio, R, Donadio, D & Bulo, R E 2016, 'Toward Hamiltonian Adaptive QM/MM: Accurate Solvent Structures Using Many-Body Potentials', Journal of Chemical Theory and Computation, vol. 12, no. 8, pp. 3441-3448. https://doi.org/10.1021/acs.jctc.6b00205