MARCATO, AGNESE
MARCATO, AGNESE
Dipartimento Scienza Applicata e Tecnologia
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A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning
2021 Marcato, A.; Boccardo, G.; Marchisio, D.
A Computational Workflow to Study Particle Transport in Porous Media: Coupling CFD and Deep Learning
2020 Marcato, A.; Boccardo, G.; Marchisio, D. L.
From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media
2022 Marcato, A.; Boccardo, G.; Marchisio, D.
Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network
2023 Marcato, Agnese; Santos, Javier E.; Boccardo, Gianluca; Viswanathan, Hari; Marchisio, Daniele; Prodanović, Maša
Reconciling deep learning and first‐principle modelling for the investigation of transport phenomena in chemical engineering
In corso di stampa Marcato, Agnese; Marchisio, Daniele; Boccardo, Gianluca
Citazione | Data di pubblicazione | Autori | File |
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A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning / Marcato, A.; Boccardo, G.; Marchisio, D.. - In: CHEMICAL ENGINEERING JOURNAL. - ISSN 1385-8947. - ELETTRONICO. - 417:(2021), p. 128936. [10.1016/j.cej.2021.128936] | 1-gen-2021 | Marcato A.Boccardo G.Marchisio D. | CEJ2020_Revised.pdf; 1-s2.0-S1385894721005295-main.pdf |
A Computational Workflow to Study Particle Transport in Porous Media: Coupling CFD and Deep Learning / Marcato, A.; Boccardo, G.; Marchisio, D. L. (COMPUTER-AIDED CHEMICAL ENGINEERING). - In: Computer Aided Chemical Engineering[s.l] : Elsevier B.V., 2020. - ISBN 9780128233771. - pp. 1759-1764 [10.1016/B978-0-12-823377-1.50294-9] | 1-gen-2020 | Marcato A.Boccardo G.Marchisio D. L. | Marcato2020.pdf |
From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media / Marcato, A.; Boccardo, G.; Marchisio, D.. - In: INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. - ISSN 0888-5885. - ELETTRONICO. - (2022). [10.1021/acs.iecr.1c04760] | 1-gen-2022 | Marcato A.Boccardo G.Marchisio D. | Marcato2022.pdf |
Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network / Marcato, Agnese; Santos, Javier E.; Boccardo, Gianluca; Viswanathan, Hari; Marchisio, Daniele; Prodanović, Maša. - In: CHEMICAL ENGINEERING JOURNAL. - ISSN 1385-8947. - ELETTRONICO. - (2023), p. 140367. [10.1016/j.cej.2022.140367] | 1-gen-2023 | Marcato, AgneseBoccardo, GianlucaMarchisio, Daniele + | Marcato2022CEJ.pdf |
Reconciling deep learning and first‐principle modelling for the investigation of transport phenomena in chemical engineering / Marcato, Agnese; Marchisio, Daniele; Boccardo, Gianluca. - In: CANADIAN JOURNAL OF CHEMICAL ENGINEERING. - ISSN 0008-4034. - ELETTRONICO. - (In corso di stampa). [10.1002/cjce.24838] | In corso di stampa | Agnese MarcatoDaniele MarchisioGianluca Boccardo | PerspectiveMachineLearning_CJCE.pdf; Can J Chem Eng - 2023 - Marcato - Reconciling deep learning and first‐principle modelling for the investigation of.pdf |