Electron tomography: An imaging method for materials deformation dynamics von Hata, S., Honda, T., Saito, H., Mitsuhara, M., Petersen, T.C., Murayama, M.

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Volume imaging by tracking sparse topological features in electron micrograph tilt series von Petersen, T.C., Zhao, C., Bøjesen, E.D., Broge, N.L.N., Hata, S., Liu, Y., Etheridge, J.

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Measuring nanometre-scale electric fields in scanning transmission electron microscopy using segmented detectors von Brown, H.G., Shibata, N., Sasaki, H., Petersen, T.C., Paganin, D.M., Morgan, M.J., Findlay, S.D.

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Factors limiting quantitative phase retrieval in atomic-resolution differential phase contrast scanning transmission electron microscopy using a segmented detector von Mawson, T., Taplin, D.J., Brown, H.G., Clark, L., Ishikawa, R., Seki, T., Ikuhara, Y., Shibata, N., Paganin, D.M., Morgan, M.J., Weyland, M., Petersen, T.C., Findlay, S.D.

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High contrast at low dose using a single, defocussed transmission electron micrograph von Clark, L., Petersen, T.C., Williams, T., Morgan, M.J., Paganin, D.M., Findlay, S.D.

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An electron tomography algorithm for reconstructing 3D morphology using surface tangents of projected scattering interfaces von Petersen, T.C., Ringer, S.P.

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Local electron tomography using angular variations of surface tangents: Stomo version 2 von Petersen, T.C., Ringer, S.P.

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Suppressing dynamical diffraction artefacts in differential phase contrast scanning transmission electron microscopy of long-range electromagnetic fields via precession von Mawson, T., Nakamura, A., Petersen, T.C., Shibata, N., Sasaki, H., Paganin, D.M., Morgan, M.J., Findlay, S.D.

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Vacancy induced formation of nanoporous silicon, carbon and silicon carbide von Opletal, G, Sun, B, Petersen, T C, Russo, S P, Barnard, A S

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HRMC_2.0: Hybrid Reverse Monte Carlo method with silicon, carbon and germanium potentials von Opletal, G., Petersen, T.C., Snook, I.K., Russo, S.P.

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Exploring the 3D Resolution of Parallax Phase Reconstruction from 4D STEM: A Dopant Depth Case Study von Terzoudis-Lumsden, E.W.C., Petersen, T.C., Brown, H.G., Pelz, P.M., Ophus, C., Findlay, S.D.

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RDFTools: A software tool for quantifying short-range ordering in amorphous materials von Mitchell, D.R.G., Petersen, T.C.

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HRMC_2.1: Hybrid Reverse Monte Carlo method with silicon, carbon, germanium and silicon carbide potentials von Opletal, G., Petersen, T.C., Russo, S.P.

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Dependence of short and intermediate-range order on preparation in experimental and modeled pure a-Si von Holmström, E., Haberl, B., Pakarinen, O.H., Nordlund, K., Djurabekova, F., Arenal, R., Williams, J.S., Bradby, J.E., Petersen, T.C., Liu, A.C.Y.

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Macroscopic electrical field distribution and field-induced surface stresses of needle-shaped field emitters von Moy, Charles, Ranzi, Gianluca, Petersen, T.C., Ringer, Simon

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Probe Shaping for Quantitative DPC-STEM Using Segmented Detectors von Clark, L., Brown, H.G., Paganin, D.M., Morgan, M.J., Matsumoto, T., Shibata, N., Petersen, T.C., Findlay, S.D.

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Quantitative Specimen Electric Potential Maps Using Segmented and Pixel Detectors in Scanning Transmission Electron Microscopy von Brown, H.G., Shibata, N., Chen, Z., Weyland, M., Petersen, T.C., Paganin, D.M., Morgan, M.J., Sasaki, H., Allen, L. J., Findlay, S. D.

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HRMC: Hybrid Reverse Monte Carlo method with silicon and carbon potentials von Opletal, G., Petersen, T.C., O'Malley, B., Snook, I.K., McCulloch, D.G., Yarovsky, I.

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Graph neural networks for low-energy event classification & reconstruction in IceCube von Adams, J, Aggarwal, N, Aguilar, J.A, Alameddine, J.M, Athanasiadou, S, Balagopal V., A, Becker, K.-H, Benda, S, BenZvi, S, Binder, G, Blot, S, Book, J.Y, Böttcher, J, Braun, J, Burley, R.T, Campana, M.A, Cross, R, Dappen, C, Dave, P, Delgado López, D, Diaz, A, Díaz-Vélez, J.C, Ehrhardt, T, Erpenbeck, H, Fiedlschuster, S, Franckowiak, A, Fürst, P, Gaisser, T.K, Gallagher, J, Glaser, C, Glauch, T, Gonzalez, J.G, Grant, D, Halzen, F, Huber, T, Hünnefeld, M, Hussain, R, Hymon, K, Iovine, N, Jeong, M, Kardum, L, Klein, S.R, Koskinen, D.J, Koundal, P, Kun, E, Lad, N, Leszczyńska, A, Lincetto, M, Lu, L, Lucarelli, F, Ludwig, A, Ma, W.Y, Makino, Y, Mariş, I.C, McElroy, T, Mead, J.V, Meighen-Berger, S, Micallef, J, Mockler, D, Montaruli, T, Nisa, M.U, Oehler, M, Oeyen, Bob, Olivas, A, Osborn, J, Pankova, D.V, Petersen, T.C, Philippen, S, Plum, M, Rameez, M, Rawlins, K, Rechav, Z, Rehman, A, Reusch, S, Roberts, E.J, Rodan, S, Rongen, M, Rott, C, Ruhe, T, Safa, I, Sandrock, A, Sarkar, S, Schaufel, M, Schneider, J, Schröder, F.G, Sclafani, S, Shefali, S, Shimizu, N, Snihur, R, Soedingrekso, J, Spiczak, G.M, Ter-Antonyan, S, Thompson, W.G, Twagirayezu, J.P, Vandenbroucke, J, van Santen, J, Vara, J, Walck, C, Wolf, M, Yu, S

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HRMC_1.1: Hybrid Reverse Monte Carlo method with silicon and carbon potentials von Opletal, G., Petersen, T.C., O'Malley, B., Snook, I.K., McCulloch, D.G., Yarovsky, I.

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