@MicroscopeColum

Physicist, microscopist, sports fanatic and dad jokes enthusiast.

Joined December 2019
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  • Following124
  • Followers114
Great to see this work published in PRL! How long until deep learning leads to the end of the human ptychopath? Phys. Rev. Lett. 130, 016101 (2023) - Deep-Learning Electron Diffractive Imaging journals.aps.org/prl/abstrac…

Deep-Learning Electron Diffractive Imaging

We report the development of deep-learning coherent electron diffractive imaging at subangstrom resolution using convolutional neural networks (CNNs) trained with only simulated data. We experiment...

journals.aps.org
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Colum O'Leary retweeted
WeixinSong@WeixinSong6 May 2022
I am happy to see our latest work on Joule, sciencedirect.com/science/ar… We show unique understandings on the Li-rich metal oxides high-energy battery materials in terms of oxygen lattice evolution. We understand more about the problems resulting from this and aim to resolve them soon
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Delighted to have collaborated with @HumboldtUni and my beloved alma mater on this project!🔬🇮🇪 @TCD_physics @tcdglobal
TCD Ultramicroscopy@TCD_Ultramic16 Sep 2021
The first article of the upcoming @MicroscopyIrl & @MAMtheJournal special volume out now with our new paper on scan-distortion correction of multi-frame 4D STEM. Big thanks to collaborators at @OxfordMaterials & @HumboldtUni doi.org/10.1017/S14319276210… @TCD_physics @cranntcd @TCD_AML
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During my PhD, I spent a lot of time optimizing electron ptychography experiments and reconstruction algorithms. Here is the paper! authors.elsevier.com/a/1cHmU…
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Wonderful to start the day by seeing our work on atomic resolution imaging of hybrid #perovskite thin films out and available in @ScienceMagazine! Excellent collaboration with @OxfordPhysics, @OxfordMaterials, and @DiamondLightSou! science.sciencemag.org/conte…
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A great opportunity for UK/EU early career microscopists! @MSAStudent @OxfordMaterials @MicroscopyIrl
RMS Early Career Researchers@RMS_EarlyCareer11 Nov 2020
📢 Announcement time! 📢 We are delighted to announce the launch of the RMS Early Career Award Competition! 🎉🔬🏅 Deadline for applications is the 30th of Nov 2020. For more info visit: tinyurl.com/RMSECAward
The Royal Microscopical Society. Early Career Committee. Announcing the first RMS EARLY CAREER AWARD COMPETITION. A competition designed for UK/EU early career microscopists to be showcased virtually via the @RMS_EarlyCareer Twitter feed. Entry requirements: Applicants will be asked to provide the following in application of the award: A statement outlining the merits of the applicant and their suitability for the award (300 words max.). A short letter of support from a senior member of the imaging community. A twitter-friendly 140 second max. video introducing their research/contribution as an early-career imaging scientist, which will be shared with the RMS Early Career community. Prize: The first RMS Early Career Medal, free registration for MMC2021 and an invitation to present a 30-minute Keynote talk at the MMC2021 Early Career satellite event.

ALT The Royal Microscopical Society. Early Career Committee. Announcing the first RMS EARLY CAREER AWARD COMPETITION. A competition designed for UK/EU early career microscopists to be showcased virtually via the @RMS_EarlyCareer Twitter feed. Entry requirements: Applicants will be asked to provide the following in application of the award: A statement outlining the merits of the applicant and their suitability for the award (300 words max.). A short letter of support from a senior member of the imaging community. A twitter-friendly 140 second max. video introducing their research/contribution as an early-career imaging scientist, which will be shared with the RMS Early Career community. Prize: The first RMS Early Career Medal, free registration for MMC2021 and an invitation to present a 30-minute Keynote talk at the MMC2021 Early Career satellite event.

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Hello Twitter! We are the RMS Early Career Committee. We aim to enable students, postdocs and early career professionals to become more involved in the RMS than ever before. Check out our page on the RMS website for more info: rms.org.uk/network-collabora…
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Phase reconstruction using fast binary 4D STEM data aip.scitation.org/doi/abs/10…
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