Slowly-decaying chirality states in low-temperature strongly Rashba-coupled systems.
Lead Research Organisation:
UNIVERSITY OF CAMBRIDGE
Department Name: Physics
Abstract
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Organisations
People |
ORCID iD |
| Gareth Conduit (Primary Supervisor) | |
| Philipp Verpoort (Student) |
Publications
Chitturi S
(2020)
Perspective: new insights from loss function landscapes of neural networks
in Machine Learning: Science and Technology
Dann J
(2019)
Au - Ge Alloys for Wide-Range Low-Temperature On-Chip Thermometry
in Physical Review Applied
Narayan V
(2019)
Long-lived nonequilibrium superconductivity in a noncentrosymmetric Rashba semiconductor
in Physical Review B
Schonenberg L
(2017)
Effective-range dependence of two-dimensional Fermi gases
in Physical Review A
Schonenberg L
(2017)
Effective-range dependence of two-dimensional Fermi gases
Verpoort P
(2018)
Materials data validation and imputation with an artificial neural network
in Computational Materials Science
Verpoort P
(2020)
Archetypal landscapes for deep neural networks.
Verpoort P
(2020)
Chirality relaxation in low-temperature strongly Rashba-coupled systems.
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509620/1 | 30/09/2016 | 29/09/2022 | |||
| 2138907 | Studentship | EP/N509620/1 | 01/01/2017 | 31/12/2020 | Philipp Verpoort |
| EP/R513180/1 | 30/09/2018 | 29/09/2023 | |||
| 2138907 | Studentship | EP/R513180/1 | 01/01/2017 | 31/12/2020 | Philipp Verpoort |