| Title: |
Machine-learning approach to understanding ultrafast carrier dynamics in the three-dimensional Brillouin zone of PtBi2 |
| Authors: |
Majchrzak, Paulina; Sanders, Charlotte; Zhang, Yu; Kuibarov, Andrii; Suvorov, Oleksandr; Springate, Emma; Kovalchuk, Iryna; Aswartham, Saicharan; Shipunov, Grigory; Büchner, Bernd; Yaresko, Alexander; Borisenko, Sergey; Hofmann, Philip |
| Contributors: |
University of St Andrews.School of Physics and Astronomy |
| Publication Year: |
2025 |
| Collection: |
University of St Andrews: Digital Research Repository |
| Subject Terms: |
QC Physics; DAS; MCC; QC |
| Description: |
Funding: This work was supported by the Independent Research Fund Denmark (Grants No. 1026-00089B and No. 4258-00002B) and Novo Nordisk Foundation (Grant No. NFF23OC0085585). S.A. acknowledges DFG through AS 523/4-1. ; Using time- and angle-resolved photoemission spectroscopy, we examine the unoccupied electronic structure and electron dynamics of the type-I Weyl semimetal PtBi2. Using the ability to change the probe photon energy over a wide range, we identify the predicted Weyl points in the unoccupied three-dimensional band structure and we discuss the effect of k⊥ broadening in the normally unoccupied states. We characterize the electron dynamics close to the Weyl points and in other parts of three-dimensional Brillouin zone using k-means, an unsupervised machine-learning technique. This reveals distinct differences—in particular, that the electron dynamics close to the Weyl points are slower than in Brillouin zone regions close to the bulk Fermi surface. ; Peer reviewed |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
Physical Review Research; 329385136; https://hdl.handle.net/10023/33249 |
| DOI: |
10.1103/PhysRevResearch.7.013025 |
| Availability: |
https://hdl.handle.net/10023/33249; https://doi.org/10.1103/PhysRevResearch.7.013025 |
| Rights: |
© 2025 The Author(s). Published under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. |
| Accession Number: |
edsbas.27C09A31 |
| Database: |
BASE |