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Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	McInnes, Lois Curfman, Arnold, Dorian, Balaprakash, Prasanna, Bernhardt, Mike, Cerny, Beth, Dubey, Anshu, Giles, Roscoe, Hood, Denice Ward, Leung, Mary Ann, Lopez-Marrero, Vanessa, Messina, Paul, Newton, Olivia B., Oehmen, Chris, Wild, Stefan M., Willenbring, Jim, Woodley, Lou, Baylis, Tony, Bernholdt, David E., Camano, Chris, Cohoon, Johannah, Ferenbaugh, Charles, Fiore, Stephen M., Gesing, Sandra, Gomez-Zara, Diego, Howison, James, Islam, Tanzima, Kepczynski, David, Lively, Charles, Menon, Harshitha, Messer, Bronson, Ngom, Marieme, Paliath, Umesh, Papka, Michael E., Qualters, Irene, Raybourn, Elaine M., Riley, Katherine, Rodriguez, Paulina, Rouson, Damian, Schwalbe, Michelle, Seal, Sudip K., Surer, Ozge, Taylor, Valerie, Wu, Lingfei
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computational Engineering, Finance, and Science Artificial Intelligence 68T01, 68U01, 97M10 I.6.0; I.2.0; G.4; D.0
Online-Zugang:	Acceder al recurso
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