Technology borrowed from electron accelerator and beam physics looks set to push the performance of ultrafast-electron-diffraction-based pump–probe studies of matter.
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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).
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Musumeci, P. Ultrashort electron probe opportunities. Nat. Photonics 14, 199–200 (2020). https://doi.org/10.1038/s41566-020-0613-1
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DOI: https://doi.org/10.1038/s41566-020-0613-1
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