Atom-centered electric multipole moments dynamically generated from QM/MM MD simulations
Andrea Levy, Andrej Antalík, Jógvan Magnus Haugaard Olsen, Ursula Rothlisberger
TL;DR
Problem: atom-centered multipoles are useful but not uniquely defined, complicating their use in simulations. Approach: extend D-RESP to xDRESP to dynamically generate multipoles up to order $\Lambda$ from QM/MM MD ESP fits on MM SR sites, with restraints to reference charges and optional QM moment constraints within the MiMiC framework. Contributions: validation across Ace, AlaGly, Gua, CREB-APAP, Ph-Br, and SN2 shows xDRESP accurately reproduces $V^{\mathrm{QM \to MM}}$ and molecular multipoles, with instantaneous charges performing best and higher-order multipoles offering ESP improvements in halogenated systems (requiring appropriate restraints). Significance: provides a practical, extensible route to system-specific electrostatics and on-the-fly polarization analysis, with implications for force-field parameterization, polarizable embeddings, and reaction-density tracking in QM/MM contexts.
Abstract
Atom-centered electric multipole moments can be extremely useful in chemistry as they enable the systematic mapping of a complex electrostatic problem to a simpler model. However, since they do not correspond to physical observables, there is no unique way to define them. In this work, we present an extension of the dynamically generated RESP charges (D-RESP) method, referred to as xDRESP, where atom-centered multipoles are computed from mixed quantum mechanics/molecular mechanics (QM/MM) molecular dynamics simulations. We compare the ability of xDRESP charges to reproduce the electrostatic potential, as well as molecular multipoles, against the performance of fixed point-charge models commonly used in force fields. Moreover, we highlight cases where DRESP atomic multipoles can provide valuable information about chemical systems, such as indicating when polarization plays a significant role, and chemical reactions, in which xDRESP atomic multipoles can be used as an on-the-fly analysis tool to track changes in electron density.
