001043071 001__ 1043071
001043071 005__ 20250804115221.0
001043071 0247_ $$2doi$$a10.1063/5.0244435
001043071 0247_ $$2ISSN$$a1527-2419
001043071 0247_ $$2ISSN$$a1070-664X
001043071 0247_ $$2ISSN$$a1089-7674
001043071 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02758
001043071 0247_ $$2WOS$$aWOS:001434107100005
001043071 037__ $$aFZJ-2025-02758
001043071 082__ $$a530
001043071 1001_ $$0P:(DE-HGF)0$$aBrönner, M.$$b0$$eCorresponding author
001043071 245__ $$aParticle swarm optimization of 1D isochoric compression designs for fast ignition
001043071 260__ $$a[Erscheinungsort nicht ermittelbar]$$bAmerican Institute of Physics$$c2025
001043071 3367_ $$2DRIVER$$aarticle
001043071 3367_ $$2DataCite$$aOutput Types/Journal article
001043071 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1753091678_26185
001043071 3367_ $$2BibTeX$$aARTICLE
001043071 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001043071 3367_ $$00$$2EndNote$$aJournal Article
001043071 520__ $$aA method to study isochoric compression to mass densities relevant for direct-drive fast ignition schemes is presented. The method is based on the combination of one-dimensional radiation-hydrodynamic simulations using the code MULTI-IFE [Ramis and Meyer-ter Vehn, Comput. Phys. Commun. 203, 226 (2016)] and a particle swarm optimization technique [Kennedy and Eberhart, in Proceedings of ICNN'95 - International Conference on Neural Networks (IEEE, Perth, WA, Australia, 1995), Vol. 4, pp. 1942–1948]. The compression of the fuel is optimized through variations of the incident temporal laser power profiles. Uniform mass density profiles are achieved by using appropriate objective functions that allow comparisons between the fuel assemblies obtained from simulations. Several objective functions were created and evaluated on their merits to yield isochoric compression assembly. Ultimately, such a profile is presented in conjunction with the technique to achieve it. A useful objective function is calculating the deviation of the simulated mass density profile from the ideal uniform mass density profile over a volume of the compressed target up to the radial position of the outgoing shock wave.
001043071 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001043071 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001043071 7001_ $$0P:(DE-HGF)0$$aAtzeni, S.$$b1
001043071 7001_ $$0P:(DE-HGF)0$$aCallahan, D.$$b2
001043071 7001_ $$0P:(DE-HGF)0$$aGaffney, J.$$b3
001043071 7001_ $$0P:(DE-Juel1)132115$$aGibbon, Paul$$b4$$ufzj
001043071 7001_ $$0P:(DE-HGF)0$$aJarrott, L. C.$$b5
001043071 7001_ $$0P:(DE-HGF)0$$aMateo, A.$$b6
001043071 7001_ $$0P:(DE-HGF)0$$aSavino, L.$$b7
001043071 7001_ $$0P:(DE-HGF)0$$aSchott, N.$$b8
001043071 7001_ $$0P:(DE-HGF)0$$aTheobald, W.$$b9
001043071 7001_ $$0P:(DE-HGF)0$$aRoth, M.$$b10
001043071 773__ $$0PERI:(DE-600)1472746-8$$a10.1063/5.0244435$$gVol. 32, no. 2, p. 022710$$n2$$p022710$$tPhysics of plasmas$$v32$$x1527-2419$$y2025
001043071 8564_ $$uhttps://juser.fz-juelich.de/record/1043071/files/broenner_pop2025.pdf$$yOpenAccess
001043071 909CO $$ooai:juser.fz-juelich.de:1043071$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001043071 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132115$$aForschungszentrum Jülich$$b4$$kFZJ
001043071 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001043071 9141_ $$y2025
001043071 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPHYS PLASMAS : 2022$$d2024-12-11
001043071 915__ $$0LIC:(DE-HGF)CCBYNC4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial CC BY-NC 4.0
001043071 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001043071 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2024-12-11$$wger
001043071 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-11
001043071 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-11
001043071 920__ $$lyes
001043071 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001043071 980__ $$ajournal
001043071 980__ $$aVDB
001043071 980__ $$aUNRESTRICTED
001043071 980__ $$aI:(DE-Juel1)JSC-20090406
001043071 9801_ $$aFullTexts