5.4 KiB
Image Charges
Introduction
The image charge (IC) augmented QM/MM model in CP2K is designed for the simulation of adsorbate-metal systems. The adsorbate is treated by QM whereas the metallic substrate is described by classical force fields.
Figure: Nitrobenzene molecule on Au111. Separation in subsystems for IC-QM/MM.
The interactions between metal and adsorbate are described at the MM level of theory accounting for
the polarization of metal and adsorbate by an IC approach. The charge distribution \rho_m in the
metal is modeled by a set of Gaussian charges (image charges) centered at the metal atoms,
\rho_m(\mathbf{r})= \sum_{a}{c_a g_a(\mathbf{r,R}_a)},
\label{eq:rhom}
where \mathbf{R}_\mathrm{a} is the position of metal atom a and g_a the spherical Gaussian
function located at a. The expansion coefficients c_a are unknown and determined in a
self-consistent procedure imposing the constant-potential condition within a metal, i.e. the sum of
V_H(\mathbf{r}) generated by the charge density \rho(\mathbf{r}) of the molecule and
V_m(\mathbf{r}) generated by \rho_m has to be constant within the metal,
V_{H}(\mathbf{r})+V_m(\mathbf{r})=\int \frac{\rho(\mathbf{r}')+\rho_m(\mathbf{r}')}{|\mathbf{r}'-\mathbf{r}|}
d\mathbf{r}'=V_0.
\label{eq:const_pot}
In this expression V_0 is a constant potential that can be different from zero, if an external
potential is applied. The implementation is embedded in the Gaussian and plane waves scheme of CP2K
and thus naturally suited for periodic systems. Details of the theory and implementation are
described in .
Basic input
The IC method is specified in the QMMM section by
&QMMM
:
:
&IMAGE_CHARGE
MM_ATOM_LIST 1..576
EXT_POTENTIAL 0.0
&END IMAGE_CHARGE
&END QMMM
The keyword MM_ATOM_LIST defines the list
of MM atoms that carrying an image charge. These are typically all metal atoms.
EXT_POTENTIAL corresponds to V_0 above
and is set to 0.0V by default. Note that the QM and MM box must have the same size for an IC-QM/MM
calculation.
Print options
Detailed energy information and the normalized IC coefficients q_a can be printed out by
IMAGE_CHARGE_INFO. The normalized IC
coefficients are defined as q_a = c_a\left(\frac{\alpha}{\pi}\right)^{-\frac{3}{2}}, where
\alpha is the width of the Gaussian.
&QMMM
:
:
&PRINT
&IMAGE_CHARGE_INFO
&END
&END PRINT
&END QMMM
Advanced input options
Additional keywords that can be set in IMAGE_CHARGE are:
&IMAGE_CHARGE
MM_ATOM_LIST 1..576
EXT_POTENTIAL 0.0
WIDTH 3.5
IMAGE_MATRIX_METHOD MME
DETERM_COEFF CALC_MATRIX
RESTART_IMAGE_MATRIX .false.
&END IMAGE_CHARGE
WIDTH refers to the width \alpha of the Gaussian
g_a, which is the only adjustable parameter in our IC model. The energies and gradients do not
depend on \alpha for values larger than 3.0 Å^{-2}. Small values of \alpha correspond to very
broad Gaussians, which will lead to technical artifacts. Extremely large values are not recommended,
too.
IMAGE_MATRIX_METHOD determines how
the IC matrix T_{ab}, Eq. 11 in , is calculated. GPW corresponds to the algorithm
shown in Fig. 1 in J. Chem. Theory Comput., 9, 5086 (2013), whereas MME is an integral scheme that
has been recently implemented and that is significantly faster.
DETERM_COEFF specifies how the expansion
coefficients c_a are determined. With CALC_MATRIX, T_{ab} is calculated and the linear set of
equations is solved. ITERATIVE avoids calculation of T_{ab} in each SCF step by using an
iterative conjugate gradient scheme. The new integral scheme MME evaluates the matrix T_{ab}
very quickly, i.e. the iterative solutions is not required here, thus set always CALC_MATRIX.
RESTART_IMAGE_MATRIX can be used to
restart T_{ab} for an MD simulation if ITERATIVE is set.
Setting these additional keywords is typically not required. The default settings are fine.
Typical setup
The typical setup for an IC-QM/MM simulation is as follows
- adsorbed molecules described by DFT
- metal is constrained or described by an embedded atom model (EAM)
- Interactions between QM and MM:
- Pauli repulsion, dispersion etc. modeled by force fields e.g. Lennard Jones
- electrostatic interaction/induction: IC model
Example input files
The first input example is a single guanine molecule on an Au111 surface using a modified Born-Mayer potential to describe Pauli repulsion and dispersion between molecule and metal. The second example is a single water molecule on Pt111. The interactions between water and metal are modeled by the Siepmann-Sprik potential, see .
- Guanine@Au111: Au111_guanine
- H2O@Pt111: Pt111_1H2O
