Experience:
Employed Quantum ESPRESSO (v.7.2) to compute critical temperatures of superconductors and physical properties in novel materials.
Computed the influence of spin-orbit coupling and effect of pressure on phonon dispersions and superconductivity.
Used EPW code to perform Wannier-Fourier interpolation of superconducting properties to a finer grid, and probed the origin of superconductivity in novel materials.
Drafted multiple manuscripts detailing my findings over the duration of this experience.
Developed an understanding of Density Functional Theory (DFT)
Applied the plane wave DFT code VASP(6.1.0) to compute physical properties of a novel family of half-metals.
Analyzed and visualized the results and performed review of relevant literature in writing up the manuscript.
First authored a peer-reviewed publication which was published in Physica Scripta (ISSN: 1402-4896) .
Publications:
Peer-reviewed:
Noor, F., Kabir, A., & Mahmud, MD. T.Emergence of Superconductivity in Ordered NbCd3alloy and its Multifunctional Properties: A First-Principles Study.2025 Physica B 716 (2025) 417693. DOI: 10.1016/j.physb.2025.417693
Noor, F., Kabir, A., & Mahmud, MD. T. A First-principles Investigation of the Structural, Optoelectronic, Elastic and Thermal properties of the p-type Half-metallic Ferromagnetic Perovskites BaFeX3(X = Cl, Br, I) 2024 Phys. Scr. 99 125962. DOI: 10.1088/1402-4896/ad8f6f
Under Preparation:
Noor, Farhan, Kabir, Alamgir and Mahmud, MD Tareq.(2025).Ultra-Incompressibility Meets Superconductivity: Effects of Pressure and Spin-orbit Coupling in Hard Nb2CN.
Grants and Fellowships:
(Submitted June 2025) Title : First-principles study of the emergence of superconductivity in alloys
Supervisor: Prof. Dr. Alamgir Kabir
Fellowship: National Science and Technology (NST) Fellowship, 2025-26.
Ministry of Science and Technology, Bangladesh.
Role: Author and calculated the electron-phonon coupling in novel alloys, which is the basis of the grant.
In my research, I have extensively applied advanced computational tools to explore the properties of novel materials. A key part of my work involves the use of the Vienna Ab initio Simulation Package (VASP), a powerful software for performing first-principles calculations based on Density Functional Theory (DFT). With VASP, I have computed a range of material properties, including electronic, optical, thermodynamic, and elastic characteristics. These calculations have allowed me to predict how materials behave under different conditions. In addition to VASP, I have worked with other computational tools to deepen my understanding of material behavior. Particularly, I have used the open-source software Quantum ESPRESSO to investigate electron-phonon coupling in novel superconductors. This aspect of my research focuses on understanding how electrons and phonons interact, a key factor in determining the superconducting properties of materials. To support and enhance these simulations, I regularly utilize auxiliary software such as VESTA, VASPKIT, and Phonopy.
Research Softwares
Structural optimization
Electronic structure calculation
Optical Spectra Calculation
Phonon Dispersion
Transport Properties
Elastic Constants
Structural optimization
Electronic structure calculation
Optical Spectra Calculation
Phonon Dispersion
Superconducting Critical Temperature
Elastic Constants
Codes interfacing with VASP/QE:
Materials Explorer: used it to obtain structural files for use in modification and subsequent calculations.
VESTA: structure modeling; obtained input files for DFT codes using this
vaspkit: pre-/post-processor for VASP; aiding with intermediate steps of calculations
PhonoPy: used it to extract phonon dispersions and phonon thermodynamics
BoltzTraP2: used it to interpolate electronic structure data to extract transport properties
ELATE: used it to visualize elastic anisotropy in materials
EPW: employed this to perform wannier-fourier interpolation prior to the solution of Eliashberg equations
thermo_pw: used it to extract elastic constants of materials via polynomial fitting of the stress-strain data; implemented at high pressures as well.
Data Visualization:
Python
Origin Pro
gnuplot