My Projects

Searching for QSL signatures in novel Tl-based triangular lattice
system

May 2024 - Present

We synthesize and characterize novel Tl-based triangular lattice systems as candidate quantum spin liquids (QSLs), performing ultra-low-temperature magnetization and heat capacity measurements to probe exotic magnetic states. Through field- and frequency-dependent studies, along with temperature- and field-dependent impedance and Hall measurements, we investigate emergent quantum behavior and electronic transport properties. This work bridges strongly correlated condensed matter physics with potential applications in spintronics and next-generation semiconductor device engineering.

Exploration of Alkali metal based triangular lattice systems for
search of novel magnetic properties at low temperatues

Jan 2025 - Present

We grow single crystals of novel alkali-based triangular lattice materials predicted to host quantum spin liquid (QSL) states, characterized by persistent geometric frustration even at temperatures approaching absolute zero. Through comprehensive bulk characterization of their magnetic and electronic properties, we seek to identify emerggent quantum signatures and advance the understanding of strongly correlated materials with potential relevance to future spintronic and device technologies.

Probing low temperature magnetic states and electronic
properties in rare-earth trihalides in search of exotic states of matter.

January 2025 - Present

This research investigates air-sensitive rare-earth trihalide systems grown using the Bridgman technique, with careful control of environmental exposure to preserve sample quality. Ultra-low-temperature magnetic and electronic characterization is conducted to probe emergent correlated states and identify potential signatures of novel quantum phases. These studies contribute to the broader understanding of strongly correlated materials and their possible integration into future spintronic technologies.

Top Quark Recontruction Via Real Vs Virtual W Bosons

August 2023 - Dec 2023

Conducted large-scale Monte Carlo simulations in Python to model top quark decay processes using CMS (Compact Muon Solenoid) experimental data. Implemented data-processing pipelines to isolate and analyze W and Z boson signatures from simulated decay channels, enabling detailed study of particle emission patterns and kinematic distributions. Developed custom filtering and analysis algorithms to efficiently process high-volume simulation datasets, extracting statistically significant observables relevant to top quark decay dynamics. Generated predictive visualizations of decay products, including energy spectra and angular distributions, to compare simulated behavior with theoretical expectations. This project strengthened my experience in high-energy physics data analysis, computational modeling, and algorithm development for large particle datasets.