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Machine Learning Approaches to Close the Filtered Two-Fluid..:
Hardy, Baptiste
;
Rauchenzauner, Stefanie
;
Fede, Pascal
...
Industrial & Engineering Chemistry Research. 63 (2024) 18 - p. 8383-8400 , 2024
Link:
https://doi.org/10.1021/acs.iecr.3c04652
RT Journal T1 <Title>Machine Learning Approaches to Close the Filtered Two-Fluid Model for Gas–Solid Flows: Models for Subgrid Drag Force and Solid Phase Stress</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.iecr.3c04652&Exemplar=1&LAN=DE A1 Hardy, Baptiste A1 Rauchenzauner, Stefanie A1 Fede, Pascal A1 Schneiderbauer, Simon A1 Simonin, Olivier A1 Sundaresan, Sankaran A1 Ozel, Ali PB American Chemical Society (ACS) YR 2024 SN 0888-5885 SN 1520-5045 JF Industrial & Engineering Chemistry Research VO 63 IS 18 SP 8383 OP 8400 LK http://dx.doi.org/https://doi.org/10.1021/acs.iecr.3c04652 DO https://doi.org/10.1021/acs.iecr.3c04652 SF ELIB - SuUB Bremen
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