23.11.2023
A warm welcome to Payal Wadhwa.
Payal is of Indian origin and did her Bachelor and Master studies at Kurukshetra University and her doctoral studies at the Indian Institute of Technology Ropar, India, where she did her Phd in 2020. From September 2020 till September 2023, Payal was a postdoctoral fellow at the Department of Physics in University of Cagliari, Italy. Her research interest are in Computational Condensed Matter Physics (Density Functional Theory, Oxide heterostructures, Magnetic properties, Spintronics, Spin-Orbitronics, Spin-Caloritronics, Topological Insulators, Topological Semi-metals, and Low dimensional materials).
She now takes part at the special research programme TACO, in which scientists of TU Wien and the University of Vienna collaborate intensely on improving materials modeling. Payal is part of the team that accelerates first-principles calculations by developing machine-learning approaches for the description of the interatomic forces, Born effective charges, and other tensorial properties of multivalent oxides. The project key is based on kernel-based methods and Bayesian inference to implement fully automatic “on-the-fly” learning.
