Skyrmion Dynamics (Ph.D.)
Skyrmion stability and movement under different temperature, current density, and physical constraints.
Skyrmion: Material Growth (Ph.D.)
Dynamics of Hopfions(Ph.D.)
Study of resonant spin dynamics of topological spin textures.
Using micromagnetic simulations, e.g., MuMax3 and OOMMF to find resonant spin dynamics of a three-dimensional topological spin texture hopfion in different chiral magnets and identifying the ground state spin configuration of hopfions, effects of anisotropies, geometric confinements, and demagnetizing fields. Calculation of the resonance frequencies and spin-wave modes of spin precession dynamics under multiple magnetic fields.
NiO Antiferromagnetic Switching:
Heterostructure growth using a sputtering system
Hall bar measurement device fabrication using photolithography
A temperature effect on the antiferromagnetic domain switching
THz resonance dynamics
Machine Learning Applications(ECE)
Goal: The project aims to detect user anomalies and inference patterns in wireless networks, targeting to improve the data rates of communication systems.
Thesis: Machine Learning Applications in Wireless Communication Networks: Interference Detection and Authentication Aspects
The project was funded by EU-CELTIC - project FU5ION.
Electric Field Effects on the Chocolate Flow(B.S.)
The electric field was applied along the direction of the flow of chocolate and the effects of the electric field on temperature, its gradient, and pressure were investigated.
PID was used for controlling temperature and setting them. Solid-state-relays were used to heat the system and nitrogen gas was used for pressuring the system. An electric field was created using Cu plates.
The graph of chocolate weight versus time was graphed in real-time.