Visualizing optically-induced strains by five-dimensional ultrafast electron microscopy

Nakamura, Akimasa; Shimojima, T.; Ishizaka, K.

doi:10.1039/d2fd00062h

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…Ultrafast transmission electron microscopy (UTEM) 54 has shown a route to achieve this using high-coherence emitters employing low charge (∼1 electron per pulse on average) driven at high repetition rates (reaching hundreds of kHz to –MHz) and taking advantage of the highly optimized electron optics to achieve high spatial and angular resolution. 55–58 Remarkable progress in conventional UTEM technology is taking place with the integration of RF bunchers to reduce space charge broadening, analogous to accelerator-scale beamlines with potential of offering drastic improvements in signal-to-noise and experiment times.…”

Section: Examples Of Ued At Hiresmentioning

confidence: 99%

Relativistic ultrafast electron diffraction at high repetition rates

Siddiqui,

Durham,

Cropp

et al. 2023

Structural Dynamics

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The ability to resolve the dynamics of matter on its native temporal and spatial scales constitutes a key challenge and convergent theme across chemistry, biology, and materials science. The last couple of decades have witnessed ultrafast electron diffraction (UED) emerge as one of the forefront techniques with the sensitivity to resolve atomic motions. Increasingly sophisticated UED instruments are being developed that are aimed at increasing the beam brightness in order to observe structural signatures, but so far they have been limited to low average current beams. Here, we present the technical design and capabilities of the HiRES (High Repetition-rate Electron Scattering) instrument, which blends relativistic electrons and high repetition rates to achieve orders of magnitude improvement in average beam current compared to the existing state-of-the-art instruments. The setup utilizes a novel electron source to deliver femtosecond duration electron pulses at up to MHz repetition rates for UED experiments. Instrument response function of sub-500 fs is demonstrated with < 100 fs time resolution targeted in future. We provide example cases of diffraction measurements on solid-state and gas-phase samples, including both micro- and nanodiffraction (featuring 100 nm beam size) modes, which showcase the potential of the instrument for novel UED experiments.

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Section: Examples Of Ued At Hiresmentioning

confidence: 99%

Relativistic ultrafast electron diffraction at high repetition rates

Siddiqui,

Durham,

Cropp

et al. 2023

Structural Dynamics

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“…Analyzing massive five-dimensional data sets obtained by five-dimensional scanning transmission electron microscopy (A. Nakamura et al, 2022;T. Shimojima et al, 2023a;T.…”

Section: Projects Using the Softwarementioning

confidence: 99%

lys: interactive multi-dimensional data analysis and visualization platform

Nakamura

2023

JOSS

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Analyzing and visualizing scientific data is an essential part of scientific research, by which researchers investigate complex phenomena behind it. In particular, the recent development of an open-source scientific Python ecosystem enables us to utilize state-of-the-art analysis and visualization. However, investigation of multi-dimensional data array still requires substantial coding, preventing intuitive and flexible analysis/visualization. lys is a Python-based multidimensional data analysis and visualization platform that provides graphical user interfaces (GUIs) to intuitively and flexibly manipulate multi-dimensional data arrays and publicationquality graphics. Massive multi-dimensional data over hundreds of gigabytes can be analyzed via automatic parallel calculation behind the GUI when lys is run on high-performance computers (HPCs). As well as the user-friendly GUIs, lys also provides flexibility for experts through its character user interface (CUI). The hybrid GUI/CUI architecture in lys enables an intuitive, low-code, parallel, flexible, and extensible multi-dimensional data analysis. lys is designed as a versatile data analysis and visualization platform that can handle all analysis processes from data loading to publication-quality figure generation. These features of lys enable us to minimize the time required for data analysis and visualization for a broad range of users.

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“…Those methods require a spatial resolution of a few nanometers, a time resolution of a few seconds, and the ability to measure the local structure of glass. A novel technique of 5-dimensional scanning transmission electron microscopy (5D-STEM) [17][18][19] that involves convergent electron beam diffraction (CBED) does qualify these requirements. 5D-STEM can measure the spatiotemporal distribution of CBED patterns, and these patterns can yield local information that is hard to retrieve in the conventional parallel-beam diffraction mode.…”

Section: Introductionmentioning

confidence: 99%

Structure-Dynamics Relation in Metallic Glass Revealed by 5-Dimensional Scanning Transmission Electron Microscopy

Nakazawa,

Mitsuishi,

Konstantin

et al. 2024

Preprint

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Dynamic and structural heterogeneities play an important role in glass transition phenomena. However, the relation between these heterogeneities is not fully revealed. In this study, we simultaneously observed these heterogeneities near the glass transition temperature in Zr50Cu40Al10 using five-dimensional scanning transmission electron microscopy, which can record the spatiotemporal distribution of diffraction patterns. The heterogeneities were visualized with sub-nanometer resolution, and a correlation between them was measured up to the glass transition temperature. We verified that ordered structures had slow dynamics and the order decreased as the temperature increased.

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Visualizing optically-induced strains by five-dimensional ultrafast electron microscopy

Abstract: Optically-induced nanoscale strain dynamics in nano-fabricated Si thin films are quantitatively visualized on the picosecond scale. A newly developed ultrafast five-dimensional convergent beam electron diffraction method is introduced.

Cited by 10 publications

References 27 publications

Relativistic ultrafast electron diffraction at high repetition rates

Relativistic ultrafast electron diffraction at high repetition rates

lys: interactive multi-dimensional data analysis and visualization platform

Structure-Dynamics Relation in Metallic Glass Revealed by 5-Dimensional Scanning Transmission Electron Microscopy

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