Explaining Principles of Tip-Enhanced Raman Images with Ab Initio Modeling
Abstract
Tip-enhanced Raman spectroscopy (TERS) is a powerful method for imaging vibrational motion and chemically characterizing surface-bound systems. Theoretical simulations of TERS images often consider systems in isolation, ignoring any substrate support, such as metallic surfaces. Here, we show that this omission leads to deviations from experimentally measured data through simulations with a new finite-field formulation of first-principles simulation of TERS spectra that can address extended, periodic systems. We show that TERS images of tetracyanoethylene on Ag(100) and defective MoS$_2$ monolayers calculated using isolated molecules or cluster models are qualitatively different from those calculated when accounting for the periodicity of the substrate. For Mg(II)-porphine on Ag(100), a system for which a direct experimental comparison is possible, these simulations prove to be crucial for explaining the spatial variation of TERS intensity patterns and allow us to uncover fundamental principles of TERS spectroscopy. We explain how and why surface interactions affect images of out-of-plane vibrational modes much more than those of in-plane modes, providing an important tool for the future interpretation of these images in more complex systems.