About
Contact & Profiles
A5102937525
Research Areas
- Electronic and Structural Properties of Oxides
- Ferroelectric and Piezoelectric Materials
- Electrochemical Analysis and Applications
- Topological Materials and Phenomena
- Electrocatalysts for Energy Conversion
- Machine Learning in Materials Science
- Photorefractive and Nonlinear Optics
University of Cambridge
2018-2020
Machine-learning and DFT modelling, linked to experimental knowledge, yield new insight into the structures reactivity of carbonaceous energy materials.
10.1039/c8cc01388h
article
EN
cc-by
Chemical Communications
2018-01-01
Perovskite oxides exhibit a rich variety of structural phases hosting different physical phenomena that generate multiple technological applications. We find topological phonons-nodal rings, nodal lines, and Weyl points-are ubiquitous in oxide perovskites terms structures (tetragonal, orthorhombic, rhombohedral), compounds (BaTiO3, PbTiO3, SrTiO3), external conditions (photoexcitation, strain, temperature). In particular, the tetragonal phase these compounds, all types phonons can...
10.1126/sciadv.abd1618
article
EN
cc-by
Science Advances
2020-11-12
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