Technology borrowed from electron accelerator and beam physics looks set to push the performance of ultrafast-electron-diffraction-based pump–probe studies of matter.
References
Kim, H. W. et al. Nat. Photon. https://doi.org/10.1038/s41566-019-0566-4 (2019).
Zewail, A. H. Annu. Rev. Phys. Chem. 57, 65–103 (2006).
Sciaini, G. & Miller, R. J. D. Rep. Prog. Phys. 74, 096101 (2011).
Wang, X. J., Qiu, X. & Ben-Zvi, I. Phys. Rev. E 54, R3121 (1996).
van Oudheusden, T. et al. Phys. Rev. Lett. 105, 264801 (2010).
Maxson, J. et al. Phys. Rev. Lett. 118, 154802 (2017).
Zhao, L. et al. Phys. Rev. X 8, 021061 (2018).
Fabiańska, J., Kassier, G. & Feurer, T. Sci. Rep. 4, 5645 (2014).
Weathersby, S. P. et al. Rev. Sci. Instrument. 86, 073702 (2015).
Ji, F. et al. Commun. Phys. 2, 54 (2019).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Musumeci, P. Ultrashort electron probe opportunities. Nat. Photonics 14, 199–200 (2020). https://doi.org/10.1038/s41566-020-0613-1
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41566-020-0613-1
- Springer Nature Limited
This article is cited by
-
An adaptive approach to machine learning for compact particle accelerators
Scientific Reports (2021)