In this project, we build an artificial intelligence-based model using the available structural data of fragment-bound SARS-CoV-2 M pro complexes.Leveraging known drug-target interactions, our goal is to produce a machine learning algorithm capable of predicting potential drugs that can be repurposed for the treatment of COVID-19.
This project advances our ability to characterize and study novel quantum materials, quantum devices, and even individual molecules at the atomic level. By combining Non-Contact Atomic Force Microscopy (NC-AFM), Scanning Tunneling Microscopy (STM) and scanning gate methods, we correlate spatial information with transport properties and can locally manipulate charge, spin and structural states.
This project aims to achieve a distinctly novel way to control the emission pattern of a single atom by placing the atom at a distance of a few wavelengths from a chiral metasurface — a phased two-dimensional array of nano-scale metallic antennas or dielectric scatterers.
We are working to develop more compact and efficient terahertz light sources using polaritons – hybrid particles consisting of a photon coupled strongly with a material excitation.