Infrared permittivity of the biaxial van der Waals semiconductor $\alpha$-MoO$_3$ from near- and far-field correlative studies
Gonzalo \'Alvarez-P\'erez, Thomas G. Folland, Ion Errea, Javier, Taboada-Guti\'errez, Jiahua Duan, Javier Mart\'in-S\'anchez, Ana I. F., Tresguerres-Mata, Joseph R. Matson, Andrei Bylinkin, Mingze He, Weiliang Ma,, Qiaoliang Bao, Jos\'e Ignacio Mart\'in, Joshua D. Caldwell

TL;DR
This study accurately characterizes the infrared dielectric function of biaxial $ ext{MoO}_3$ using combined far-field and near-field optical methods, validated by simulations and DFT insights, advancing nanomaterial optical modeling.
Contribution
It introduces a correlative approach combining far- and near-field studies to precisely determine the dielectric function of $ ext{MoO}_3$, surpassing traditional methods.
Findings
Achieved quantitative agreement between far- and near-field optical properties.
Validated the dielectric model with simulations and DFT calculations.
Provided new insights into vibrational states affecting optical properties.
Abstract
The biaxial van der Waals semiconductor -phase molybdenum trioxide (-MoO) has recently received significant attention due to its ability to support highly anisotropic phonon polaritons (PhPs) -infrared (IR) light coupled to lattice vibrations in polar materials-, offering an unprecedented platform for controlling the flow of energy at the nanoscale. However, to fully exploit the extraordinary IR response of this material, an accurate dielectric function is required. Here, we report the accurate IR dielectric function of -MoO by modelling far-field, polarized IR reflectance spectra acquired on a single thick flake of this material. Unique to our work, the far-field model is refined by contrasting the experimental dispersion and damping of PhPs, revealed by polariton interferometry using scattering-type scanning near-field optical microscopy (s-SNOM) on…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
