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Girardi, F., & De Palma, G. (2025). Trained Quantum Neural Networks are Gaussian Processes. Communications in Mathematical Physics, 406(4), Article 92. https://doi.org/10.1007/s00220-025-05238-0 -
Jones, C. R. T., & Paranjape, S. (2025). Smooth splitting and zeros from on-shell recursion. Journal of High Energy Physics, 2025(7), Article 251. https://doi.org/10.48550/arXiv.2505.02520, https://doi.org/10.1007/JHEP07(2025)251
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Kaufman, R., & Heck, A. (2025). Seeing vs. Measuring. Physics Teacher, 63(6), 475-477. https://doi.org/10.1119/5.0207574
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Papagianni, C., Cavalcanti, D., Verdi, F. L., Chieng, D., & Bernardos, C. J. (2025). Special Issue Editorial: Deterministic, Reliable, Resilient, and Programmable Networks for 6G. IEEE Network, 39(3), 72-74. https://doi.org/10.1109/MNET.2025.3557588
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Emparan, R., Sanchez-Garitaonandia, M., & Tomašević, M. (2025). String theory in a pinch: resolving the Gregory-Laflamme singularity. Journal of High Energy Physics, 2025(2), Article 104. https://doi.org/10.48550/arXiv.2411.14998, https://doi.org/10.1007/JHEP02(2025)104
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Drewes, M., Georis, Y., Klarić, J., & Wendels, A. (2025). On the collider-testability of the type-I seesaw model with 3 right-handed neutrinos. Journal of High Energy Physics, 2025(3), Article 176. https://doi.org/10.48550/arXiv.2407.13620, https://doi.org/10.1007/JHEP03(2025)176
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Buschmann, M. (2025). Sledgehamr: Simulating Scalar Fields with Adaptive Mesh Refinement. Astrophysical Journal, 979(2), Article 220. https://doi.org/10.3847/1538-4357/ad9ea2
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Bub, M. W., He, T., Mitra, P., Zhang, Y., & Zurek, K. M. (2025). Quantum Mechanics of a Spherically Symmetric Causal Diamond in Minkowski Spacetime. Physical Review Letters, 134(12), Article 121501. https://doi.org/10.1103/PhysRevLett.134.121501
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Pilsl, B., Bergauer, T., Casanova, R., Handerkas, H., Irmler, C., Kraemer, U., Marco-Hernandez, R., Mazorra de Cos, J., Palomo, F. R., Portschy, S., Powell, S., Sieberer, P., Sonneveld, J., Steininger, H., Vilella, E., Wade, B., Zhang, C., & Zhang, S. (2025). Enhancing radiation hardness and granularity in HV-CMOS: The RD50-MPW4 sensor. Nuclear Instruments & Methods in Physics Research Section A - Accelerators Spectrometers Detectors and Associated Equipment, 1080, Article 170752. https://doi.org/10.1016/j.nima.2025.170752
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Liu, R., Lauze, F., Bekkers, E. J., Darkner, S., & Erleben, K. (2025). SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation. Frontiers in Artificial Intelligence, 8, Article 1369717. https://doi.org/10.3389/frai.2025.1369717
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