| Communication lower bounds and optimal algorithms for multiple tensor-times-matrix computation
Daas, H. A. L., Ballard, G., Grigori, L., Kumar, S., & Rouse, K. (2024). Communication lower bounds and optimal algorithms for multiple tensor-times-matrix computation. SIAM Journal on Matrix Analysis and Applications, 45(1), 450-477. https://doi.org/10.1137/22M1510443 |
| Computational models for high-power cyclotrons and FFAs
Adelmann, A., & Rogers, C. T. (2023). Computational models for high-power cyclotrons and FFAs. Journal of Instrumentation, 18(3), T03006 (8 pp.). https://doi.org/10.1088/1748-0221/18/03/T03006 |
| Factorized structure of the long-range two-electron integrals tensor and its application in quantum chemistry
Badreddine, S., Chollet, I., & Grigori, L. (2023). Factorized structure of the long-range two-electron integrals tensor and its application in quantum chemistry. Journal of Computational Physics, 493, 112460 (29 pp.). https://doi.org/10.1016/j.jcp.2023.112460 |
| Block subsampled randomized hadamard transform for Nyström approximation on distributed architectures
Balabanov, O., Beaupère, M., Grigori, L., & Lederer, V. (2023). Block subsampled randomized hadamard transform for Nyström approximation on distributed architectures. In A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato, & J. Scarlett (Eds.), Proceedings of machine learning research: Vol. 202. International conference on machine learning (pp. 1564-1576). |
| Fast exact leverage score sampling from Khatri-Rao products with applications to tensor decomposition
Bharadwaj, V., Malik, O. A., Murray, R., Grigori, L., Buluc, A., & Demmel, J. (2023). Fast exact leverage score sampling from Khatri-Rao products with applications to tensor decomposition. In NeurIPS Proceedings: Vol. 36. Advances in neural information processing systems (p. (28 pp.). |
| Time series forecasting methods and their applications to particle accelerators
Li, S., & Adelmann, A. (2023). Time series forecasting methods and their applications to particle accelerators. Physical Review Accelerators and Beams, 26(2), 024801 (16 pp.). https://doi.org/10.1103/PhysRevAccelBeams.26.024801 |
| Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL
Albà, A., Seok, J., Adelmann, A., Doran, S., Ha, G., Lee, S., … Zholents, A. (2022). Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL. Computer Physics Communications, 280, 108475 (9 pp.). https://doi.org/10.1016/j.cpc.2022.108475 |
| IsoDAR@Yemilab: a report on the technology, capabilities, and deployment
Alonso, J. R., Conrad, J. M., Winklehner, D., Spitz, J., Bartoszek, L., Adelmann, A., … Waites, L. H. (2022). IsoDAR@Yemilab: a report on the technology, capabilities, and deployment. Journal of Instrumentation, 17(9), P09042 (31 pp.). https://doi.org/10.1088/1748-0221/17/09/P09042 |
| Retrieval of aerosol properties from in situ, multi-angle light scattering measurements using invertible neural networks
Boiger, R., Modini, R. L., Moallemi, A., Degen, D., Adelmann, A., & Gysel-Beer, M. (2022). Retrieval of aerosol properties from in situ, multi-angle light scattering measurements using invertible neural networks. Journal of Aerosol Science, 163, 105977 (20 pp.). https://doi.org/10.1016/j.jaerosci.2022.105977 |
| Search for the muon electric dipole moment using frozen-spin technique at PSI
Khaw, K. S., Adelmann, A., Backhaus, M., Berger, N., Daum, M., Giovannozzi, M., … Schmidt-Wellenburg, P. (2022). Search for the muon electric dipole moment using frozen-spin technique at PSI. In W. M. Bonviento (Ed.), Proceedings of science: Vol. 402. The 22nd international workshop on neutrinos from accelerators (NuFact2021) (p. 136 (5 pp.). https://doi.org/10.22323/1.402.0136 |
| Input beam matching and beam dynamics design optimizations of the IsoDAR RFQ using statistical and machine learning techniques
Koser, D., Waites, L., Winklehner, D., Frey, M., Adelmann, A., & Conrad, J. (2022). Input beam matching and beam dynamics design optimizations of the IsoDAR RFQ using statistical and machine learning techniques. Frontiers in Physics, 10, 875889 (10 pp.). https://doi.org/10.3389/fphy.2022.875889 |
| Order-of-magnitude beam current improvement in compact cyclotrons
Winklehner, D., Conrad, J. M., Schoen, D., Yampolskaya, M., Adelmann, A., Mayani, S., & Muralikrishnan, S. (2022). Order-of-magnitude beam current improvement in compact cyclotrons. New Journal of Physics, 24(2), 023038 (22 pp.). https://doi.org/10.1088/1367-2630/ac5001 |
| Fast, efficient and flexible particle accelerator optimisation using densely connected and invertible neural networks
Bellotti, R., Boiger, R., & Adelmann, A. (2021). Fast, efficient and flexible particle accelerator optimisation using densely connected and invertible neural networks. Information, 12(9), 351 (21 pp.). https://doi.org/10.3390/INFO12090351 |
| Beam stripping interactions in compact cyclotrons
Calvo, P., Podadera, I., Gavela, D., Oliver, C., Adelmann, A., Snuverink, J., & Gsell, A. (2021). Beam stripping interactions in compact cyclotrons. Physical Review Accelerators and Beams, 24(9), 090101 (11 pp.). https://doi.org/10.1103/PhysRevAccelBeams.24.090101 |
| Designing a bunch compressor chicane for a multi-TeV linear collider
Stulle, F., Adelmann, A., & Pedrozzi, M. (2007). Designing a bunch compressor chicane for a multi-TeV linear collider. Physical Review Special Topics: Accelerators and Beams, 10(3), 031001 (8 pp.). https://doi.org/10.1103/PhysRevSTAB.10.031001 |
