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Träfflista för sökning "WFRF:(Olivier A) srt2:(2020-2024)"

Search: WFRF:(Olivier A) > (2020-2024)

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Enumeration	Reference	Cover	Find
1.	2021 swepub:Mat__t
2.	2021 swepub:Mat__t
3.	Bravo, L, et al. (author) 2021 swepub:Mat__t
4.	Tabiri, S, et al. (author) 2021 swepub:Mat__t
5.	Glasbey, JC, et al. (author) 2021 swepub:Mat__t
6.	Adamina, M, et al. (author) The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study 2022 In: Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland. - : Wiley. - 1463-1318. ; 24:6, s. 708-726 Journal article (peer-reviewed)
7.	Murari, A., et al. (author) A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors 2024 In: Nature Communications. - 2041-1723 .- 2041-1723. ; 15:1 Journal article (peer-reviewed)abstract The objective of thermonuclear fusion consists of producing electricity from the coalescence of light nuclei in high temperature plasmas. The most promising route to fusion envisages the confinement of such plasmas with magnetic fields, whose most studied configuration is the tokamak. Disruptions are catastrophic collapses affecting all tokamak devices and one of the main potential showstoppers on the route to a commercial reactor. In this work we report how, deploying innovative analysis methods on thousands of JET experiments covering the isotopic compositions from hydrogen to full tritium and including the major D-T campaign, the nature of the various forms of collapse is investigated in all phases of the discharges. An original approach to proximity detection has been developed, which allows determining both the probability of and the time interval remaining before an incoming disruption, with adaptive, from scratch, real time compatible techniques. The results indicate that physics based prediction and control tools can be developed, to deploy realistic strategies of disruption avoidance and prevention, meeting the requirements of the next generation of devices.
8.	Vega, J., et al. (author) Disruption prediction with artificial intelligence techniques in tokamak plasmas 2022 In: Nature Physics. - : Springer Science and Business Media LLC. - 1745-2481 .- 1745-2473. ; 18:7, s. 741-750 Research review (peer-reviewed)
9.	Overview of JET results for optimising ITER operation 2022 In: Nuclear Fusion. - : IOP Publishing. - 1741-4326 .- 0029-5515. ; 62:4 Research review (peer-reviewed)
10.	Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions 2022 In: Nature Physics. - : Springer Science and Business Media LLC. - 1745-2481 .- 1745-2473. ; 18:7, s. 776-782 Journal article (peer-reviewed)

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Result 1-10 of 218

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Type of publication: journal article (194); research review (15); conference paper (3); book chapter (1)

Type of content: peer-reviewed (207); other academic/artistic (6)

Author/Editor: Akiyama, Kazunori (32); Alberdi, Antxon (32); Alef, Walter (32); Barrett, John (32); Bintley, Dan (32); Blackburn, Lindy (32); show more...; Brissenden, Roger (32); Britzen, Silke (32); Bronzwaer, Thomas (32); Chen, Ming Tang (32); Chen, Yongjun (32); Cui, Yuzhu (32); Davelaar, Jordy (32); Desvignes, Gregory (32); Eatough, Ralph P. (32); Gammie, Charles F. (32); Gentaz, Olivier (32); Gu, Minfeng (32); Ball, David (31); Broderick, Avery E. (31); Byun, Do Young (31); Christian, Pierre (31); Conway, John, 1963 (31); Cordes, James M. (31); Fromm, Christian M. (31); Galison, Peter (31); Garcia, Roberto (31); Ho, Luis C. (31); Huang, Chih Wei L. (31); Huang, Lei (31); Inoue, Makoto (31); James, David J. (31); Kim, Jae-Young (30); Chan, Chi Kwan (30); Dexter, Jason (30); Georgiev, Boris (30); Hecht, Michael H. (30); Jannuzi, Buell T. (30); Jeter, Britton (30); Jung, Taehyun (30); Kawashima, Tomohisa (30); Koay, Jun Yi (30); Koyama, Shoko (30); Lee, Sang Sung (30); De Laurentis, Mariaf ... (30); Li, Zhiyuan (30); Liuzzo, Elisabetta (30); Lo, Wen-Ping (30); Mao, Jirong (30); Mizuno, Yosuke (30); show less...

University: Uppsala University (53); Chalmers University of Technology (53); Karolinska Institutet (35); Stockholm University (32); Lund University (32); University of Gothenburg (23); show more...; Umeå University (16); Linköping University (15); Örebro University (10); Swedish University of Agricultural Sciences (8); Royal Institute of Technology (7); Linnaeus University (5); RISE (4); IVL Swedish Environmental Research Institute (4); Swedish Museum of Natural History (3); Stockholm School of Economics (2); Kristianstad University College (1); Mid Sweden University (1); Karlstad University (1); Högskolan Dalarna (1); show less...

Language: English (218)

Research subject (UKÄ/SCB): Natural sciences (119); Medical and Health Sciences (78); Engineering and Technology (20); Social Sciences (9); Agricultural Sciences (5); Humanities (3)

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