Strong-field-driven dynamics and high-harmonic generation in interacting 1D systems

TL;DR

This paper investigates how electronic band structure and Coulomb interactions influence high-harmonic generation in 1D solid-state systems, using simulations of atomic chains and carbon nanotubes under intense ultrashort optical pulses.

Contribution

It introduces a self-consistent electron dynamics model for 1D systems that accounts for interactions and predicts enhanced HHG in doped semiconductors and realistic nanotubes.

Findings

Electron interactions significantly affect HHG yield.

Doped semiconductors produce more efficient high harmonics.

Carbon nanotubes show qualitative agreement with atomic chain models.

Abstract

We explore the roles of electronic band structure and Coulomb interactions in solid-state HHG by studying the optical response of linear atomic chains and carbon nanotubes to intense ultrashort pulses. Specifically, we simulate electron dynamics by solving the single-particle density matrix equation of motion in the presence of intense ultrafast optical fields, incorporating tight-binding electronic states and a self-consistent electron-electron interaction. While linear atomic chains constitute an idealized system, our realistic 1D model readily provides insight on the temporal evolution of electronic states in reciprocal space, both in the absence or presence of electron interactions, which we demonstrate to play an important role in the HHG yield. This model further predicts that doped semiconductors generate high harmonics more efficiently than their metallic and undoped counterparts. To complement this idealized system we also show results for HHG in more realistic quasi-1D structures such as carbon nanotubes, the behavior of which is found to be in good qualitative agreement with the atomic chains. Our findings apply directly to extreme nonlinear optical phenomena in atoms on surfaces, carbon-based structures, linear arrays of dopant atoms in semiconductors, and linear molecules, such as polycyclic aromatic hydrocarbon chains, and can be straightforwardly extended to optimize existing platforms for HHG or identify new solid-state alternatives in the context of nonlinear plasmonics.