Numerical modeling of quantum metamaterials — chiral antiferromagnet spin dynamics, ferroelectric phase-field simulations, and high-performance scientific computing in Julia.
I am a PhD researcher in Electrical & Computer Engineering at Purdue University (GPA 4.0), working at the intersection of condensed matter physics and high-performance scientific computing. My dissertation, Phase Field Modelling of Quantum Metamaterials, is supervised by Prof. Pramey Upadhyaya.
My work spans two main tracks: chiral antiferromagnetic spin dynamics in Mn₃Pt-type systems (spin-wave spectra, minimum energy paths, LLGS torque dynamics) and ferroelectric phase-field modeling of STO/PTO superlattices using spectral ETD2RK/FFT methods. Everything is implemented in Julia — fast, differentiable, and GPU-ready.
Before Purdue I spent four years as a Scientist at the Indian Space Research Organization (ISRO), designing GaN MMIC power amplifiers and LNAs for the GSAT-7R and RISAT-2B satellite payloads, and establishing a semiconductor device characterization lab from scratch.
Analytical and computational study of Mn₃Pt-type systems with three-sublattice 120° coplanar spin configurations. Derives closed-form anisotropy energy coefficients (A, B, C), implements NEB/CI-NEB minimum energy paths, and projects the full LLGS equation onto collective coordinates (θ, φ, ψ) with SOT/STT torques.
Spectral ETD2RK solver for the Landau-Khalatnikov equation coupled with a Poisson solver via FFT. Features absorbing boundary conditions via Strang-split sponge layers, patterned metal contacts via Fourier decomposition, and modeling of coherent ferron propagation in STO/PTO superlattices.
Physics-Informed Neural Networks (PINNs) and neural operators (Fourier Neural Operator, DeepONet) for model discovery from experimental spintronics data and PDE surrogate learning, implemented via NeuralOperators.jl and Lux.jl.
Micromagnetic simulations of spintronic behavior in moiré quantum materials. This work contributed to the discovery of new magnetization modes arising from the moiré superlattice potential in twisted magnetic heterostructures.
Fourier analysis along skewed/non-orthogonal axes — useful for moiré superlattice computations and reciprocal-space analysis of twisted heterostructures.
Three-sublattice spin dynamics for chiral antiferromagnets (Mn₃Pt). Includes NEB/CI-NEB solvers, collective-coordinate LLGS projection, SOT/STT torques, and GLMakie energy landscape visualization.
Spectral ETD2RK + FFT solver for the Landau-Khalatnikov equation. Supports patterned contacts, Strang-split sponge boundaries, and ferron dispersion analysis in STO/PTO superlattices.
High-performance ODE/DAE solver infrastructure for large-scale scientific simulations on HPC clusters, optimized for memory efficiency and parallel execution.
Reader and GLMakie-based visualizer for OOMMF Vector Field (.ovf) files produced by micromagnetic simulations — 3D magnetization field inspection with interactive slicing.
Simulation suite for moiré quantum material systems. Used to discover novel magnetization modes in twisted magnetic heterostructures arising from moiré superlattice potentials.
Drift-diffusion simulation of micro/nano semiconductor devices, developed during MS thesis work on high-frequency NEGF-Maxwell co-simulation for the DARPA NanoSim project.
Finite-difference method utilities and patch-grid visualization tools for 2D/3D PDE solvers — structured mesh generation and field plotting for computational physics workflows.
Neovim configuration (Lazy.nvim) tuned for Julia scientific computing — LSP, Tree-sitter, tmux integration, and REPL-driven development keymaps.