Zobrazeno 1 - 10
of 2 447
pro vyhledávání: '"Y. Y. Chang"'
Autor:
T. Kurz, T. Heinemann, M. F. Gilljohann, Y. Y. Chang, J. P. Couperus Cabadağ, A. Debus, O. Kononenko, R. Pausch, S. Schöbel, R. W. Assmann, M. Bussmann, H. Ding, J. Götzfried, A. Köhler, G. Raj, S. Schindler, K. Steiniger, O. Zarini, S. Corde, A. Döpp, B. Hidding, S. Karsch, U. Schramm, A. Martinez de la Ossa, A. Irman
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Particle accelerators based on laser- or electron-driven plasma waves promise compact sources for relativistic electron bunches. Here, Kurz and Heinemann et al. demonstrate a hybrid two-stage configuration, combining the individual features of both a
Externí odkaz:
https://doaj.org/article/50ea584b3fe34925ab5e0db1d7702567
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033130 (2024)
An investigation of the thermodynamic and electrical transport properties of the isoelectronic chemical substitution series CeTi_{1−x}V_{x}Ge_{3} (CTVG) single crystals is reported. As x increases, the ferromagnetic (FM) transition temperature is s
Externí odkaz:
https://doaj.org/article/35de73afd0f9439dad29229423eb1e1f
Autor:
L. J. Slater, L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, G. Shalev, C. Shen, L. Speight, G. Villarini, R. L. Wilby, A. Wood, M. Zappa
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 1865-1889 (2023)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land
Externí odkaz:
https://doaj.org/article/a3319d8c27b9466ea2e0d6a22320a892
Autor:
J. P. Couperus Cabadağ, R. Pausch, S. Schöbel, M. Bussmann, Y.-Y. Chang, S. Corde, A. Debus, H. Ding, A. Döpp, F. M. Foerster, M. Gilljohann, F. Haberstroh, T. Heinemann, B. Hidding, S. Karsch, A. Koehler, O. Kononenko, A. Knetsch, T. Kurz, A. Martinez de la Ossa, A. Nutter, G. Raj, K. Steiniger, U. Schramm, P. Ufer, A. Irman
Publikováno v:
Physical Review Research, Vol 3, Iss 4, p L042005 (2021)
We present the experimental demonstration of density downramp injection at a gas-dynamic shock in a beam-driven plasma accelerator. The ultrashort driver electron beam with a peak-current exceeding 10 kA allows operation in the blowout regime and ena
Externí odkaz:
https://doaj.org/article/276346ea088c45bf95b243931f17f040
Autor:
F. M. Foerster, A. Döpp, F. Haberstroh, K. v. Grafenstein, D. Campbell, Y.-Y. Chang, S. Corde, J. P. Couperus Cabadağ, A. Debus, M. F. Gilljohann, A. F. Habib, T. Heinemann, B. Hidding, A. Irman, F. Irshad, A. Knetsch, O. Kononenko, A. Martinez de la Ossa, A. Nutter, R. Pausch, G. Schilling, A. Schletter, S. Schöbel, U. Schramm, E. Travac, P. Ufer, S. Karsch
Publikováno v:
Physical Review X, Vol 12, Iss 4, p 041016 (2022)
We present experimental results on a plasma wakefield accelerator (PWFA) driven by high-current electron beams from a laser wakefield accelerator (LWFA). In this staged setup stable and high-quality (low-divergence and low energy spread) electron bea
Externí odkaz:
https://doaj.org/article/3fa23bbdddf44168ae7322c4d4f8890e
Autor:
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, Massimiliano Zappa
Publikováno v:
Hydrology and Earth System Sciences, 27 (9)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety ofpredictions from dynamical, physics-based models - such as numerical weather prediction, climate, land, h
Autor:
Annie Y.-Y. Chang, Konrad Bogner, Maria-Helena Ramos, Shaun Harrigan, Daniela I.V. Domeisen, Massimiliano Zappa
Historically, Switzerland and the nearby alpine countries have not been associated with major droughts. However, in recent years, the European Alpine space has experienced several unprecedented low-flow conditions and drought events. As many economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d2dacd5a10f478ce219c1f0fbc3a58b
https://doi.org/10.5194/egusphere-egu23-12694
https://doi.org/10.5194/egusphere-egu23-12694
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