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PhD

University of Tennessee, Knoxville (USA)

Physics-Theoretical Condensed Matter Physics

• Computational Physics
• Advanced Condensed Matter Physics (I and II)
• Quantum Field Theory (I and II)
• Machine Learning

MSc

University of Tennessee, Knoxville (USA)

Physics-Theoretical Condensed Matter Physics

• Advanced Quantum Mechanics (I and II)
• Advanced Statistical Mechanics
• Electromagnetism
• Classical Mechanics
• Mathematical Methods in Physics

BSc (Honours)- Special Degree in Engineering Physics

University of Colombo, Sri Lanka

Engineering Physics

• Quantum Mechanics
• Statistical Mechanics
• Electromagnetism
• Solid State Physics
• Solid State Devices and Opto-electronics
• Introduction to Robotics
• Instrumentation Physics
• Various Engineering Physics Laboratory Courses
• Embedded Systems

Graduate Research Assistant

University of Tennessee, Knoxville (USA)

Conducting research in theoretical condensed matter physics, focusing on strongly correlated matter systems. Utilizing computational modeling, Machine Learning, and theoretical analysis to understand quantum materials and their properties.

• Strongly correlated matter systems
• Computational modeling
• Machine Learning
• Quantum Mechanics
• Condensed Matter Physics

Graduate Teaching Assistant

University of Tennessee, Knoxville (USA)

Teaching undergraduate physics courses, including introductory physics labs, electromagnetism labs, and recitation sessions. Assisting students in understanding complex physics concepts and problem-solving techniques.

• Teaching
• Physics modeling using VPython
• Grading
• Quantum Mechanics
• Electromagnetism
• Introductory Physics

Teaching Assistant

University of Colombo, Sri Lanka

Teaching under graduate physics courses, including general physics labs, electromagnetism labs, and exam invigilation

• Teaching
• Grading
• Optics
• Electromagnetism
• Introductory Physics

Research Volunteer

Open University of Sri Lanka

Modifying and Automation of a spectrophotometer for material characterization.

• Spectrophotometer Automation
• Instumentation Physics
• IoT (Internet of Things)
• Embedded Systems

Volunteer Instructor

Physics Society of University of Colombo, Sri Lanka

Participate in various outreach programs to teach school teachers and students on basic electronics experiments and concepts to help them improve their practical knowledge in physics.

• Analog and Digital Electronics Experiments

Crew member

World Space Week Sri Lanka (an affiliate organization of World Space Week Association)

Crew member of World Space Week Sri Lanka, which is an affiliate organization of World Space Week Association (WSWA). Organized many space science related events to promote space science among school students.

• Astronomy
• Classical Mechanics

Active Member/Instrcutor

Royal College Astronomical Society, Colombo, Sri Lanka

Conducted and participated in many astronomical workshops and observation night-campss to promote astronomy among school students.

• Astronomy
• Classical Mechanics

Graduate Student Senate (GSS) Travel Award

Graduate Student Senate (GSS), University of Tennessee, Knoxville

Birkhoff Fellowship

University of Tennessee, Knoxville

Graduate Student Senate (GSS) Travel Award

University of Tennessee, Knoxville

Graduate Fellowship

University of Tennessee, Knoxville

Antiferromagnetism and Kekulé valence bond order in the honeycomb optical Su-Schrieffer-Heeger-Hubbard model

Submitted to Phys. Rev. B

The precise role of e-ph coupling in graphene and related materials on a honeycomb lattice is not yet fully understood, despite extensive research on these systems. Here, we perform sign-problem-free determinant quantum Monte Carlo (DQMC) simulations of the optical Su-Schrieffer-Heeger (oSSH)-Hubbard model on the honeycomb lattice, focusing on the parameters relevant to graphene.

APS2025 - DQMC study of competing phases of the Hubbard-optical SSH model on the honeycomb lattice

APS2025 - March Meeting

Graphene is one of the most widely studied two-dimensional quantum materials and is known to host a variety of emergent quantum phenomena, such as relativistic fermions, quantum Hall effect, superconductivity, etc. In a previous determinant quantum Monte Carlo (DQMC) study, we examined the effect of electron-phonon (e-ph) coupling on the honeycomb lattice and demonstrated that this interaction can drive the formation of the Kekule valance bond solid (KVBS) state, which are commonly observed in strained graphene, for specific coupling and phonon frequency values. Here, we extend this study to include the interplay of e-ph interactions and Hubbard interactions.

Kekulé valence bond order in the honeycomb lattice optical Su-Schrieffer-Heeger model and its relevance to graphene

Phys. Rev. B

We perform sign-problem-free determinant quantum Monte Carlo simulations of the optical Su-Schrieffer-Heeger model on a half-filled honeycomb lattice. In particular, we investigate the model's semimetal (SM) to Kekulé valence bond solid (KVBS) phase transition at zero and finite temperatures as a function of phonon energy and interaction strength.

APS2024 - Optical Su-Schrieffer-Heeger model in Honeycomb Lattice using DQMC

APS2024 - March Meeting

APS March Meeting talk on Optical Su-Schrieffer-Heeger model in Honeycomb Lattice using DQMC and it's relevance to graphene.

Codebase release r0.3 for SmoQyDQMC.jl

SciPost Phys. Codebases

Code base release for SmoQyDQMC.jl including new features and performance improvements.

SmoQyDQMC.jl: A flexible implementation of determinant quantum Monte Carlo for Hubbard and electron-phonon interactions

SciPost Phys. Codebases

We introduce the SmoQyDQMC.jl package, a Julia implementation of the determinant quantum Monte Carlo algorithm. SmoQyDQMC.jl supports generalized tight-binding Hamiltonians with on-site Hubbard and generalized electron-phonon (e-ph) interactions, including non-linear e-ph coupling and anharmonic lattice potentials. Our implementation uses hybrid Monte Carlo methods with exact forces for sampling the phonon fields, enabling efficient simulation of low-energy phonon branches, including acoustic phonons.

Comparative study of the superconductivity in the Holstein and optical Su-Schrieffer-Heeger models

Phys. Rev. B

Theoretical studies suggest that Su-Schrieffer-Heeger-like electron-phonon (𝑒-ph) interactions can mediate high-temperature bipolaronic superconductivity that is robust against repulsive electron-electron interactions. Here we present a comparative analysis of the pairing and competing charge/bond correlations in the two-dimensional Holstein and optical Su-Schrieffer-Heeger (SSH) models using numerically exact determinant quantum Monte Carlo.

Comparative determinant quantum Monte Carlo study of the acoustic and optical variants of the Su-Schrieffer-Heeger model

Phys. Rev. B

We compare the acoustic Su–Schrieffer–Heeger (SSH) model with two of its optical variants where the phonons are defined on either on the sites or bonds of the system. First, we discuss how to make fair comparisons between these models in any dimension by ensuring their dimensionless coupling 𝜆 and relevant phonon energies are the same. We then use determinant quantum Monte Carlo to perform nonperturbative and sign-problem-free simulations of all three models on one-dimensional chains at and away from half-filling.

APS2023 - Comparative Quantum Monte Carlo studies of the two-dimensional bond Su-Schrieffer-Heeger and Holstein models

APS2023 - March Meeting

APS March Meeting talk presented by Andy Tanjaroon Ly on Comparative Quantum Monte Carlo studies of the two-dimensional bond Su-Schrieffer-Heeger and Holstein models.

APS2023 - On the equivalence of the bond and optical SSH models in the adiabatic limit

APS2023 - March Meeting

APS March Meeting talk on the equivalence of the bond and optical SSH models in the adiabatic limit.

Developing a Nuclear magnetic resonance(NMR) device

Worked on developing a Nuclear magnetic resonance(NMR) device under supervision of Dr. M. K.Jayananda. Which uses marginal oscillator concept to detect NMR signals from various samples.

• Nuclear magnetic resonance
• Electronics

Machine Lerning Techniques for Phase Classification in Strongly Correlated Matter

Collaborative project with multiple researchers applying machine learning techniques to classify distinct quantum phases in the Su–Schrieffer–Heeger (SSH) model on the honeycomb lattice, using data generated from determinant quantum Monte Carlo (DQMC) simulations.

• Phase Detection method (PD)
• Lerning By Confusion (LBC)
• Principal Component Analysis (PCA)
• DQMC
• Machine Learning
• Strongly Correlated Matter Systems