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Kasper, D., Bean, J. L., Line, M. R., Seifahrt, A., Brady, M. T., Lothringer, J., Pino, L., Fu, G., Pelletier, S., Stürmer, J., Benneke, B., Brogi, M., & Désert, J.-M. (2023). Unifying High- and Low-resolution Observations to Constrain the Dayside Atmosphere of KELT-20b/MASCARA-2b. Astrophysical Journal, 165(1), Article 7. https://doi.org/10.3847/1538-3881/ac9f40 -
van Campenhout, C. T., Schoenmaker, H., van Hecke, M., & Noorduin, W. L. (2023). Patterning Complex Line Motifs in Thin Films Using Immersion-Controlled Reaction-Diffusion. Advanced materials, 35(39), Article 2305191. https://doi.org/10.1002/adma.202305191 -
Bolhuis, P. G., Brotzakis, Z. F., & Keller, B. K. (2023). Optimizing molecular potential models by imposing kinetic constraints with path reweighting. Journal of Chemical Physics, 159(7), Article 074102. https://doi.org/10.1063/5.0151166 -
Farmer, R., Renzo, M., Götberg, Y., Bellinger, E., Justham, S., & de Mink, S. E. (2023). Observational predictions for Thorne-Żytkow objects. Monthly Notices of the Royal Astronomical Society, 524(2), 1692-1709. https://doi.org/10.1093/mnras/stad1977 -
Sand, K. R., Breitman, D., Michilli, D., Kaspi, V. M., Chawla, P., Fonseca, E., Mckinven, R., Nimmo, K., Pleunis, Z., Shin, K., Andersen, B. C., Bhardwaj, M., Boyle, P. J., Brar, C., Cassanelli, T., Cook, A. M., Curtin, A. P., Dong, F. A., Eadie, G. M., ... Stenning, D. C. (2023). A CHIME/FRB Study of Burst Rate and Morphological Evolution of the Periodically Repeating FRB 20180916B. Astrophysical Journal, 956(1), Article 23. https://doi.org/10.3847/1538-4357/acf221 -
Heredia-Acuña, C., Semchenko, M., & De Vries, F. T. (2023). Root litter decomposition is suppressed in species mixtures and in the presence of living roots. Journal of Ecology, 111(11), 2519-2531. https://doi.org/10.1111/1365-2745.14207 -
van Herwerden, D., O'Brien, J. W., Lege, S., Pirok, B. W. J., Thomas, K. V., & Samanipour, S. (2023). Cumulative Neutral Loss Model for Fragment Deconvolution in Electrospray Ionization High-Resolution Mass Spectrometry Data. Analytical Chemistry, 95(33), 12247-12255. https://doi.org/10.1021/acs.analchem.3c00896 -
Mücke, N. T., Sanderse, B., Bohté, S. M., & Oosterlee, C. W. (2023). Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications. Computers and Mathematics with Applications, 147, 278-299. https://doi.org/10.1016/j.camwa.2023.07.028 -
Psaradaki, I., Costantini, E., Rogantini, D., Mehdipour, M., Corrales, L., Zeegers, S. T., de Groot, F., Den Herder, J. W. A., Mutschke, H., Trasobares, S., de Vries, C. P., & Waters, L. B. F. M. (2023). Oxygen and iron in interstellar dust: An X-ray investigation. Astronomy and Astrophysics, 670, Article A30. https://doi.org/10.1051/0004-6361/202244110 -
Derakhshani, M. M., Sanchez, E., Bulat, A., Turrisi da Costa, V. G., Snoek, C. G. M., Tzimiropoulos, G., & Martinez, B. (2023). Bayesian Prompt Learning for Image-Language Model Generalization. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 15191-15200). IEEE Computer Society. https://doi.org/10.48550/arXiv.2210.02390, https://doi.org/10.1109/ICCV51070.2023.01398
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