University Assistant Professor

Dr Seán Kavanagh is an Assistant Professor in Simulation of Energy Materials and a council member for the Lennard Jones Centre for materials modelling.

He heads the Simulation of Advanced Materials (SAM) lab, a research team that uses state-of-the-art computational methods to design and develop next-generation materials; primarily targeting energy applications. We are happy to hear from prospective PhD candidates, see SAM-lab.net for more details!

The SAM lab works at the intersection of materials science, chemistry, physics and artificial intelligence (AI); developing and deploying techniques from quantum chemistry (e.g., DFT), solid-state physics and machine learning (ML, primarily machine-learned interatomic potentials (MLIPs)) to understand the atomic-level properties of materials. Using insights from these calculations, run on high-performance computers, one can predict, design and optimise the performance of materials in real-world technologies. Further details on research interests can be found at SAM-lab.net.

The SAM lab has a particularly strong interest in materials for energy conversion (such as solar cells, photocatalysts and thermoelectrics) and energy storage (e.g. batteries), as well as the development of computational packages to support its research, primarily based in Python. These computational tools are open-source and are used by thousands of other researchers worldwide.

The SAM lab is actively recruiting! You can reach out to Seán via email (sk2045@cam.ac.uk), and it is helpful to include a brief description of your background, a CV and any relevant experience, to help determine potential research projects.

 

Publications

Computational Prediction of an Antimony-Based n-Type Transparent Conducting Oxide: F-Doped Sb2O5
K Li, J Willis, SR Kavanagh, DO Scanlon
Chemistry of materials : a publication of the American Chemical Society
(2024)
36
Upper efficiency limit of Sb2Se3 solar cells
X Wang, SR Kavanagh, DO Scanlon, A Walsh
(2024)
PyTASER: Simulating transient absorption spectroscopy (TAS) for crystals from first principles
S Aggarwal, SR Kavanagh, YW Woo, LG Verga, AM Ganose, A Walsh
Journal of Open Source Software
(2024)
9
Machine-learning structural reconstructions for accelerated point defect calculations
I Mosquera-Lois, SR Kavanagh, AM Ganose, A Walsh
(2024)
Giant Band Degeneracy via Orbital Engineering Enhances Thermoelectric Performance from Sb2Si2Te6 to Sc2Si2Te6
W Dou, K Spooner, S Kavanagh, M Zhou, DO Scanlon
(2024)
Factors Enabling Delocalized Charge-Carriers in Pnictogen-Based Solar Absorbers: In-depth Investigation into CuSbSe2
Y Fu, H Lohan, M Righetto, Y-T Huang, SR Kavanagh, C-W Cho, SJ Zelewski, YW Woo, H Demetriou, MA McLachlan, S Heutz, BA Piot, DO Scanlon, A Rao, LM Herz, A Walsh, RLZ Hoye
(2024)
easyunfold: A Python package for unfolding electronic band structures
B Zhu, SR Kavanagh, D Scanlon
Journal of Open Source Software
(2024)
9
Computational Prediction of an Antimony-based n-type Transparent Conducting Oxide: F-doped Sb2O5
K Li, J Willis, SR Kavanagh, DO Scanlon
(2023)
Mixed-Cation Vacancy-Ordered Perovskites (Cs2Ti1-xSnxX6; X = I or Br): Low-Temperature Miscibility, Additivity, and Tunable Stability
SM Liga, SR Kavanagh, A Walsh, DO Scanlon, G Konstantatos
The Journal of Physical Chemistry C
(2023)
127
Four-electron negative-U vacancy defects in antimony selenide
X Wang, SR Kavanagh, DO Scanlon, A Walsh
Physical Review B
(2023)
108

Research Group

Research Interest Groups

Email address