I am a doctoral candidate in Materials Science and Engineering at Carnegie Mellon University, where I am advised
by Dr. Ismaila Dabo. (You can watch a short overview of our research group’s vision for AI and sustainable energy
here). My research explores how chemical
disorder, structural complexity, and atomic-scale interactions govern compositional stability and transport phenomena
in advanced materials. I am broadly driven by developing predictive frameworks for phonons and vibrational transport
in chemically complex systems where conventional assumptions of periodic symmetry no longer hold.
By integrating first-principles calculations, high-performance computing, and machine learning, I seek to elucidate how
complex phenomena emerge from atomistic disorder and how they can be deliberately engineered for next-generation
energy conversion and thermal management systems for a more sustainable and equitable future.
My core doctoral work centers on the predictive modeling of phonons in complex oxides—specifically high-entropy
oxides—for thermal energy harvesting and efficiency. To probe these expansive, non-conventional compositional
spaces, I leverage high-throughput density functional theory (DFT) workflows alongside machine learning techniques,
such as graph neural network (GNN) interatomic potentials. This hybrid framework dramatically accelerates calculations,
allowing us to model complex structures that would otherwise be computationally prohibitive using traditional
quantum mechanics alone.
An overarching theme motivating my research is navigating the fundamental tradeoff between physical interpretability
and computational efficiency. Within this space, my work aims to address critical underlying questions:
How can we meaningfully define, track, and unfold vibrational modes in strongly disordered materials?
What structural information is lost when complexity is reduced to parent components, and what new atomistic descriptors
are required to capture emergent behavior? Furthermore, how can we design data-driven models that strictly respect
underlying physical constraints?
Rather than viewing these complex challenges as obstacles, I treat them as opportunities to rethink how we engineer
materials at the atomic level. To bridge these already-way-too-broad questions with targeted engineering solutions, my research deploys
specialized methodologies, such as phonon band unfolding, non-analytical corrections to dynamical matrices, and the virtual
crystal approximation.
My work is inherently collaborative and interdisciplinary; I actively engage with theorists and experimentalists as a member of the
Center for Nanoscale Science, a prestigious Materials Research Science and Engineering Center (MRSEC) supported by the
National Science Foundation, as well as other multi-institutional networks.
I am always happy to discuss research, cool ideas, or potential collaborations, and I welcome any
conversations that challenge me. Definitely feel free to reach out! :-)
Here's a brief geography of my life so far, highlighting where I began and where life has taken me since!
View map .
All publications are also available on
Google Scholar.
‡ indicates equal contribution.
Nanoscale Confinement of Phonon Flow and Heat Transport
A. Beardo, W. Chen, B. McBennett, T. Karimzadeh Sabet, E. E. Nelson, T. H. Culman, H. C. Kapteyn, J. L. Knobloch, M. M. Murnane, I. Dabo
npj Computational Materials. 2025
High‑Entropy Design of Transition Metal Oxide Semiconductors with Ultra‑Low Thermal Conductivity
R. A. Robinson‡, T. Karimzadeh Sabet‡, F. Marques dos Santos Vieira‡, S. S. I. Almishal‡, S. V. G. Ayyagari, R. Katzbaer, G. Di Gianluca, S. Sarker, P. R. Trinidad‑Perez, J. P. Barber, S. Gelin, S. H. Lee, J. Hodges, R. E. Schaak, V. H. Crespi, V. Gopalan, N. Alem, C. M. Rost, J‑P Maria, I. Dabo, Z. Mao
Communications Materials. 2026
27-676 Foundations of Materials Science and Engineering
CMU, Pittsburgh, PA | Fall 2025
Recipient of MSE Teaching Intern Award. Recognized through CMU's Thank a Teacher program.
27-534 Methods of Computational Materials Science
CMU, Pittsburgh, PA | Spring 2025
MATSE419 Computational Materials Science
Penn State, University Park, PA | Spring 2023, Spring 2024
MATSE501 Thermodynamics of Materials
Penn State, University Park, PA | Fall 2022
Full resume available here [last updated June 2026].
Plant Stand
Wooden Crate
Folding Stool
Folding Stool (Folded)
A small selection of some nature photos I've taken.