Publications by authors named "E S Smolina"
Article Synopsis
- The study demonstrates the application of machine learning for classifying topological phases in finite leaky photonic lattices using minimal measurement data.
- The proposed method relies on a single real-space bulk intensity image, avoiding complex phase retrieval techniques.
- A fully connected neural network is designed to identify topological properties from intensity distributions in waveguide arrays after a localized excitation, mimicking realistic experimental conditions.
The miniaturization of photonic technologies calls for a deliberate integration of diverse materials to enable novel functionalities in chip-scale devices. Topological photonic systems are a promising platform to couple structured light with solid-state matter excitations and establish robust forms of 1D polaritonic transport. Here, we demonstrate a mechanism to efficiently trap mid-IR structured phonon-polaritons in topological defects of a metasurface integrated with hexagonal boron nitride (hBN).
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- * Initially, we find that long wavelength instabilities and alterations in the Bloch waves are closely linked to band inversions, which are significant changes in the system's properties.
- * Our findings reveal that, over time, nonlinear interactions lead to energy spreading and the formation of unique wave polarization patterns, providing a method to explore topological features and generate complex wave fields.
Cerebrovascular imaging of rodents is one of the trending applications of optoacoustics aimed at studying brain activity and pathology. Imaging of deep brain structures is often hindered by sub-optimal arrangement of the light delivery and acoustic detection systems. In our work we revisit the physics behind opto-acoustic signal generation for theoretical evaluation of optimal laser wavelengths to perform cerebrovascular optoacoustic angiography of rodents beyond the penetration barriers imposed by light diffusion in highly scattering and absorbing brain tissues.
View Article and Find Full Text PDFRaster-scan optoacoustic angiography at 532 nm wavelength with 50 μm lateral resolution at 2 mm diagnostic depth was used for quantitative characterization of neoangiogenesis in colon cancer models. Two tumor models of human colon adenocarcinoma (HT-29) and murine colon carcinoma (CT26) different in their histology and vascularization were compared. Tumors of both origins showed an inhomogeneous distribution of areas with high and low vascularization.
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