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000986276 001__ 986276
000986276 005__ 20251006144119.0
000986276 0247_ $$2ISBN$$a978-3-96144-263-8
000986276 0247_ $$2ISBN$$a978-3-96144-264-5
000986276 0247_ $$2ISBN$$a978-3-96144-265-2
000986276 037__ $$aRWTH-2024-05122
000986276 041__ $$aEnglish
000986276 1001_ $$0P:(DE-82)IDM02462$$aBobzin, Kirsten$$b0$$urwth
000986276 1112_ $$aInternational Thermal Spray Conference$$cMilan$$d2024-04-29 - 2024-05-01$$gITSC 2024$$wItaly
000986276 245__ $$aPhysics-Informed Neural Networks for Predicting Particle Properties in Plasma Spraying$$hmedia combination
000986276 260__ $$aDüsseldorf$$bDVS Media GmbH$$c2024
000986276 29510 $$aITSC 2024 : international thermal spray conference and exhibition : conference proceedings and poster sessions of the conference in Milan/Italy on April 29-May 1, 2024 / organizers: DVS - German Welding Society, ASM International - Thermal Spray Society (TSS), DVS Media GmbH
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000986276 536__ $$0G:(DE-82)X080067-WS-B2.II$$aWS-B2.II - Discontinuous Production (X080067-WS-B2.II)$$cX080067-WS-B2.II$$x0
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000986276 591__ $$aGermany
000986276 653_7 $$aAtmospheric plasma spraying (APS)
000986276 653_7 $$aartificial neural networks (ANNs)
000986276 653_7 $$acomputational fluid dynamics (CFD)
000986276 653_7 $$agrey box model
000986276 653_7 $$amachine learning (ML)
000986276 653_7 $$aphysics-informed neural networks (PINNs)
000986276 7001_ $$0P:(DE-82)IDM03140$$aHeinemann, Hendrik$$b1$$urwth
000986276 7001_ $$0P:(DE-82)IDM03312$$aDokhanchi, Ali$$b2$$eCorresponding author$$urwth
000986276 8564_ $$uhttps://publications.rwth-aachen.de/record/986276/files/986276.pdf$$yRestricted
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000986276 9141_ $$y2024
000986276 9151_ $$0StatID:(DE-HGF)0021$$2StatID$$aNo peer reviewed article$$x0
000986276 9201_ $$0I:(DE-82)419010_20140620$$k419010$$lLehrstuhl und Institut für Oberflächentechnik im Maschinenbau$$x0
000986276 9201_ $$0I:(DE-82)080067_20181221$$k080067$$lInternet of Production$$x1
000986276 961__ $$c2024-05-16T13:32:17.937638$$x2024-05-16T13:32:17.937638$$z2024-05-17
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