Frontier research in Spintronics, Quantum Materials and Artificial Intelligence
This project aims to experimentally realize altermagnetic tunnel junctions and optimize their spin transport characteristics using artificial intelligence and machine learning approaches.
Generation and manipulation of pure spin currents through ferromagnetic resonance and spin-orbit interactions.
Exploring spin transport and charge conversion in topological insulators and related quantum systems.
Development of next-generation MRAM and spin logic devices with enhanced performance.
Investigation of nanoscale topological spin textures for neuromorphic computing applications.
Machine learning methods for optimization and accelerated discovery of spintronic materials.
Interface engineering, spin-orbit coupling and quantum transport in advanced materials.
Q-SPIN LAB welcomes collaborations with researchers, PhD scholars, postgraduate students and undergraduate students interested in