Machine learning for nanoplasmonics
Plasmonic nanomaterials have outstanding optoelectronic properties potentially enabling
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …
Near‐and Far‐Field Observation of Phonon Polaritons in Wafer‐Scale Multilayer Hexagonal Boron Nitride Prepared by Chemical Vapor Deposition
Polaritons in layered materials (LMs) are a promising platform to manipulate and control
light at the nanometer scale. Thus, the observation of polaritons in wafer‐scale LMs is …
light at the nanometer scale. Thus, the observation of polaritons in wafer‐scale LMs is …
Machine learning for optical scanning probe nanoscopy
The ability to perform nanometer‐scale optical imaging and spectroscopy is key to
deciphering the low‐energy effects in quantum materials, as well as vibrational fingerprints …
deciphering the low‐energy effects in quantum materials, as well as vibrational fingerprints …
Studying complex evolution of hyperelastic materials under external field stimuli using artificial neural networks with spatiotemporal features in a small‐scale dataset
Abstract Deep‐learning (DL) methods, in consideration of their excellence in dealing with
highly complex structure–performance relationships for materials, are expected to become a …
highly complex structure–performance relationships for materials, are expected to become a …
Rapid simulations of hyperspectral near-field images of three-dimensional heterogeneous surfaces–part II
The modeling of the near-field interaction in the scattering-type scanning near-field optical
microscope (s-SNOM) is rapidly advancing, although an accurate yet versatile modeling …
microscope (s-SNOM) is rapidly advancing, although an accurate yet versatile modeling …
Identification of weak molecular absorption in single-wavelength s-SNOM images
Scattering-type scanning near-field optical microscopy (s-SNOM) allows for nanoscale
optical mapping of manifold material properties. It is based on interferometric recording of …
optical mapping of manifold material properties. It is based on interferometric recording of …
Phase-resolved terahertz nanoimaging of microcrystals
The terahertz (THz) electrodynamics of few-layer W Te 2 is dominated by the plasmon
response. However, THz surface plasmons (SPs) with long wavelengths in two-dimensional …
response. However, THz surface plasmons (SPs) with long wavelengths in two-dimensional …
Accelerated Nano-Optical Imaging through Sparse Sampling
The integration time and signal-to-noise ratio are inextricably linked when performing
scanning probe microscopy based on raster scanning. This often yields a large lower bound …
scanning probe microscopy based on raster scanning. This often yields a large lower bound …
Deep learning Hamiltonians from disordered image data in quantum materials
The capabilities of image probe experiments are rapidly expanding, providing new
information about quantum materials on unprecedented length-and timescales. Many such …
information about quantum materials on unprecedented length-and timescales. Many such …
Deep-learning-aided extraction of optical constants in scanning near-field optical microscopy
Scanning near-field optical microscopy is one of the most effective techniques for
spectroscopy of nanoscale systems. However, inferring optical constants from the measured …
spectroscopy of nanoscale systems. However, inferring optical constants from the measured …