I work on Anderson localization problems in two dimensions. Exploring how two seemingly distinct phenomena, topology and localization, interplay in these lower dimensions is fascinating.
Specific Research Interests
Anderson localization in two-dimensional systems with particle-hole symmetry.
Perturbing Dirac systems with disorders of certain non-unitary symmetries.
Integer quantum Hall systems in amorphous lattices.
I am exploring the potential of classical machine learning models to learn the unique characteristics of quantum transport.
A link to my updated curriculum vitae is available at this link.
Research Publications
Naba P. Nayak, Surajit Sarkar, Kedar Damle, and Soumya Bera; Band-center metal-insulator transition in bond-disordered graphene, DOI: https://doi.org/10.1103/PhysRevB.109.035109 ; e-print: 2304.09674
Soumya Bera, Johannes Dieplinger, and Naba P. Nayak; Quantum Hall criticality in an amorphous Chern insulator, DOI: https://journals.aps.org/prb/abstract/10.1103/PhysRevB.109.174213; e-print: 2401.11855
Hiranmay Das, Naba P. Nayak, Vijay B Shenoy, and Soumya Bera; Does 𝑍2-flux Disorder Freeze Dirac Fermions?, https://meetings.aps.org/Meeting/MAR24/Session/GG04.5
Critical States of Fermions with Z2 Flux Disorder. Hiranmay Das, Naba P. Nayak, Soumya Bera, and Vijay B. Shenoy. https://doi.org/10.48550/arXiv.2505.06689
Project Reports
Master's thesis: Exact Numerical Diagonalisation of Heisenberg Spin Model Supervised by Prof. Brijesh Kumar
Term Paper: Rossler System A Paradigm To Chaos Supervised by Prof. Ram Ramaswamy
Conference participation/presentations
March 2025: APS March meeting 2025 organized by American physical society. (Gave a contributed talk and poster).
March 2025: Seminar talk on ``The role of Weak Topology in the Anderson Transition in Chiral-Symmetric systems" at Indian institute of Technology, Madras.
February 2025: Seminar talk on ``Anderson Localization and Topology in lower-dimensional Sublattice-Symmetric Systems" at Indian institute of science, Banglore.
December 2024: ``7th Annual Conference on Quantum condensed Matter" organized by IIT Guwahati. (Gave a contributed talk.)
December 2024: ``Quantum Condensed Matter Perspectives at IIT Bombay (QCMP@IITB)" organized by IIT Bombay. (Presented a poster)
September 2024: International Workshop on "Localization: Emergent Platforms and Novel Trends" organized by "Max Planck Institute for the Physics of Complex Systems". (Presented a poster).
July 2024: "Frontiers of Theoretical Condensed Matter Physics" organized by the Russian Academy of Sciences At Landau Institute for Theoretical Physics (Gave a Talk and Poster).
June 2024: ''Workshop on Classical and Quantum Machine Learning for Condensed Matter Physics" organized by the International Center for Theoretical Physics, Italy (Attended).
April 2024: "APS April Meeting 2024'' Organized by American Physical Society (Gave a Talk).
November 2023: "Annual Conference on QUANTUM CONDENSED MATTER" conducted by School of Physical Sciences NISER Bhubaneswar, India (Talk/poster).
May 2023 "Physics of Quantum Matter School (PQMS -2023)" organized by School of Physical Sciences NISER Bhubaneswar.
February 2023: "PRL Conference on Condensed Matter Physics" Conducted by Physical Research Laboratory, Ahmedabad. (Flash talk and poster presentation).
February 2023: "8th Indian Statistical Physics Community Meeting" Conducted by the International Center for Theoretical Sciences. (Presented a poster on "metal-insulator transition at the band-center of bond-disordered graphene").
January 2023: "10th Annual Symposium SYMPHY" conducted by Indian Institute of Technology Bombay, India. (Gave a talk on metal-insulator transition at the band center of bond-disordered graphene).
September 2022: "Annual Conference on Quantum Condensed Matter" conducted by Indian Institute of Technology Kanpur, India. (Presented a Poster on Conductance Fluctuation In Anisotropic Bond Disordered Graphene).
December 2021: "Annual Conference on Quantum Condensed Matter" conducted by Tata Institute of Fundamental Research (TIFR), Mumbai, India (Presented a poster).
Skills and experiences
Languages: Extensively used in projects: Python, Cython, Fortran, Mathematica. Familiarity and working knowledge in c,cpp, and Javascript.
Machine Learning: Worked on projects involving ML languages like tensoflow, and Pytorch—familiarity with Large language models (LLM).
Worked on projects using Python, Cython, Fortran, C++, Javascript, Mathematica, LaTeX, Working knowledge using kwant and machine learning packages: Tensoflow, Pytorch.
Simulation Software: Quantum transport simulations package: kwant, Density matrix renormalization Group: ITensor: Julia, Machine Learning: Tensorflow, and Pytorch.
