Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Machine Learning-Driven Analytical Models for Threshold Displacement Energy Prediction in Materials

Published in arXiv, 2025

The threshold displacement energy (E_d) is a fundamental parameter for understanding radiation damage in materials, yet its determination typically relies on costly experiments or computationally expensive simulations. In this work, we employ the Sure Independence Screening and Sparsifying Operator (SISSO) machine learning method to develop analytical models that predict E_d based on fundamental material properties. Our models achieve high accuracy for monoatomic materials, outperforming traditional empirical approaches. For polyatomic systems, we identify key challenges and highlight pathways for improvement with enhanced datasets. This study identifies cohesive energy and melting temperature as the dominant descriptors of E_d, providing a predictive framework for radiation damage assessment in diverse materials.

Recommended citation: Duque, Rosty B. Martinez, Arman Duha, and Mario F. Borunda. "Machine Learning-Driven Analytical Models for Threshold Displacement Energy Prediction in Materials." arXiv preprint arXiv:2502.01813 (2025).
Download Paper

Effect of uncorrelated on-site scalar potential and mass disorder on transport of two-dimensional Dirac fermions

Published in Physical Review B, 2024

This work investigates how scalar potential and mass disorder affect the transport properties of Dirac fermions in two-dimensional systems. Using a tight-binding lattice model and the Landauer formalism, we uncover a rich phase diagram encompassing insulating, metallic, and scale-invariant behaviors. These findings illuminate the interplay between disorder types and their critical thresholds, offering insights into designing systems like bilayer graphene with tunable transport properties.

Recommended citation: Duha, Arman, and Mario F. Borunda. "Effect of uncorrelated on-site scalar potential and mass disorder on transport of two-dimensional Dirac fermions." Physical Review B 110.9 (2024): 094205.
Download Paper

Two-mode squeezing in Floquet-engineered power-law interacting spin models

Published in Physical Review A, 2024

In this study, we explore the potential of Floquet-engineered power-law interacting spin-1/2 XXZ models for generating metrologically useful entanglement. By leveraging spatiotemporal control of interactions, we demonstrate Heisenberg-limited two-mode squeezing, surpassing traditional limits on sensitivity in quantum sensing. Using the discrete truncated Wigner approximation (dTWA) for numerical simulations, our results reveal universal scaling laws that unlock new possibilities for quantum platforms featuring power-law interactions.

Recommended citation: Duha, Arman, and Thomas Bilitewski. "Two-mode squeezing in Floquet-engineered power-law interacting spin models." Physical Review A 109.6 (2024): L061304.
Download Paper

Optimization of a Pb-free all-perovskite tandem solar cell with 30.85% efficiency

Published in Optical Materials, 2022

Addressing the environmental challenges of lead-based perovskite solar cells, this study models and optimizes lead-free tandem solar cells using SCAPS software. By fine-tuning the optoelectronic properties of MAGeI3 and FASnI3 subcells, we achieve an impressive 31% efficiency. This work demonstrates the viability of eco-friendly alternatives for high-performance solar cells, paving the way for sustainable energy solutions.

Recommended citation: Duha, Arman U., and Mario F. Borunda. "Optimization of a Pb-free all-perovskite tandem solar cell with 30.85% efficiency." Optical Materials 123 (2022): 111891.
Download Paper