Mind the gap between theory and experiment

TL;DR

This paper explores how numerical simulations can bridge the gap between theoretical models and experimental results in nanoplasmonics, emphasizing the importance of detailed modeling for accurate interpretation.

Contribution

It demonstrates simple methods to incorporate experimental details into simulations, improving the alignment between theory and experiment in plasmonic nanostructures.

Findings

Simulations can reveal how roughness affects near-field but not far-field.

Using SEM images helps create more realistic models.

Bridging theory and experiment requires careful consideration of physical details.

Abstract

We discuss some examples where numerical simulations based on effectively fabricated nanostructures can provide additional insights into an experiment. Focusing on plasmonics, we study Fano resonant systems for optical trapping, realistic dipole antennas for near-field enhancement, and hybrid nanostructures that combine plasmonic metals with dielectrics refractive index sensing. For those systems, the same experimental detail can play a very different role, depending on the type of physical observable. For example, roughness can significantly influence the near-field, but be totally unnoticed in the far-field. It can affect molecules adsorbed on the surface, while refractive index sensing can be fully immune to such roughness. Approaching the experimental situation as closely as possible is certainly a challenging task and we demonstrate a simple approach based on SEM images for that. Altogether, bridging the gap between theory and experiment is not such a trivial task. However, some of the simple steps illustrated in this chapter can help build numerical models that match the experiment better.