Est. 2026 · University of Texas at Austin
We push the frontiers of our understanding of complex materials by employing a combination of quantum and classical computing.
We are interested in gaining a better understanding of the physics that appears in condensed matter, and in building theoretical models that can capture this physics. For these theoretical models to be truly predictive we often have to resort to using the power of supercomputers and quantum computers, as for realistic materials the interactions of electrons, photons, and vibrating atoms are typically too complicated to allow for a pen-and-paper solution.
We have dedicated great efforts towards understanding how so-called excited electronic states in solids can be controlled, using external handles such as temperature and pressure, and have developed efficient theoretical and computational approaches for accurately obtaining the properties of these states in a wide range of materials. Some of our predictions have led to minimizing energy losses in LEDs, understanding the mechanisms of efficient energy transfer, and predicting how excited electronic states can dissociate into free electrons that may be harnessed in solar cell devices.
Moreover, we develop ways of rigorously constructing theoretical models that retain only the essential characteristics of complex materials, yet capture the physics that is relevant to applications, and are also amenable to efficient solution on quantum computers. This will allow us to understand exotic phases of matter where the interactions between electrons and atomic motion is strong, and which pose a challenge to traditional methods of studying the electronic structure of materials.
Assistant Professor at the Department of Physics and the Oden Institute for Computational Engineering & Sciences, University of Texas at Austin. His background is in theoretical and computational condensed matter physics. He received his Ph.D. from the University of Cambridge in 2021 (Cavendish Laboratory), was a postdoctoral researcher at UC Berkeley and Lawrence Berkeley National Lab (2021–2023), and a staff scientist at NASA Ames Research Center (2023–2025). His thesis was awarded the Cavendish Ph.D. Prize in Computational Physics and the Springer Thesis Prize, and was published in the Springer Theses series. His research has further been recognised with the 2024 Theoretical Physics award of the Academy of Athens, and he was a finalist for the international Volker Heine Early-Career Investigator Award.
antonios.alvertis@oden.utexas.edu · Google Scholar · CVResearch interests and bio to be added.
Research interests and bio to be added.
Research interests and bio to be added.
We develop theoretical and computational approaches to accurately compute the properties of excited electronic states (excitons) across a wide range of materials, exploring how temperature, pressure, and phonons influence their behaviour.
ExcitonsBSEFirst-principlesWe construct rigorously downfolded Hamiltonians from ab initio calculations that are compact enough for quantum computers, enabling the study of exotic phases of matter that challenge classical methods.
Quantum computingVQEHubbard modelWe investigate how the coupling between electrons and atomic vibrations governs energy transfer, exciton dissociation, and carrier dynamics in organic semiconductors, molecular crystals, and inorganic solids.
Electron-phononOrganic semiconductorsSolar cellsProf. Antonios Alvertis joins the Department of Physics and the Oden Institute for Computational Engineering & Sciences as an assistant professor. We are excited to begin building our group!
Our paper on ultrafast exciton dissociation via phonon emission in BiVO4 is published in Physical Review Research (2026).
Whether you are a potential collaborator or simply curious about our work, feel free to reach out.
Address
Department of Physics &
Oden Institute for Computational Engineering & Sciences
University of Texas at Austin
Austin, TX, USA
Email
antonios.alvertis@oden.utexas.edu
Personal Website
amalvertis.github.io
Google Scholar
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