56 citations · 56 across the 8 of their papers we have counts for
8 papers
Multimodal Optical Feature Extraction with a Free-Space Photonic Extreme Learning Machine
Anushka Kumari, Anushree Khisti, Abhinav Choube +3
Photonic extreme learning machines (PELMs) replace a digitally trained hidden layer by a fixed optical transformation, allowing a high dimensional feature map to be generated by ph…
PhoQuPy: A Python framework for Automation of Quantum Optics experiments
Srivatsa Murali, Anshuman Kumar
We present the automation of a confocal photoluminescence (PL) scanning system for the identification and characterization of single-photon emitters (SPEs) in quantum materials. Th…
Inverse Design of the Topology Bandwidth Tradeoff in Valley Photonic Crystals
Devansh Satra, Abhishek Kumar, Anshuman Kumar
Valley photonic crystals provide a route to broadband domain-wall guiding, but increasing the bulk gap can delocalize Berry curvature and reduce the non-quantized valley-Chern numb…
Exploring the role of hyperbolicity in surface enhanced Raman sensing
Mihir Kumar Sahoo, Abhay Anand V S, Nihar Ranjan Sahoo +1
A plasmonic nanostructure-based substrate, serving as a surface-enhanced Raman scattering (SERS) substrate, enhances the Raman scattering of molecules. By employing an electron bea…
Electrostatically Controlled Pyrophototronic Effect Enabled Accident Alert System using a Strain-Polarized WS2 Phototransistor
Poulomi Chakrabarty, Sera Sen, Anwesha Chakraborty +5
Event-based dynamic light detection, specifically in low illumination power environments, is a critical requirement in autonomous vehicles. This work reports low optical power phot…
A Surrogate Model for the Forward Design of Multi-layered Metasurface-based Radar Absorbing Structures
Vineetha Joy, Aditya Anand, Nidhi +3
Metasurface-based radar absorbing structures (RAS) are highly preferred for applications like stealth technology, electromagnetic (EM) shielding, etc. due to their capability to ac…
Deep learning-based variational autoencoder for classification of quantum and classical states of light
Mahesh Bhupati, Abhishek Mall, Anshuman Kumar +1
Advancements in optical quantum technologies have been enabled by the generation, manipulation, and characterization of light, with identification based on its photon statistics. H…
PySPH: a Python-based framework for smoothed particle hydrodynamics
Prabhu Ramachandran, Aditya Bhosale, Kunal Puri +17
PySPH is an open-source, Python-based, framework for particle methods in general and Smoothed Particle Hydrodynamics (SPH) in particular. PySPH allows a user to define a complete S…