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MARCATO, AGNESE
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Machine learning for multivariate parameter identification of first-principle model: the Mg(OH)2 test case
In corso di stampa Raponi, Antonello; Marcato, Agnese; Boccardo, Gianluca; Buffo, Antonio; Vanni, Marco; Marchisio, Daniele
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
A diffused-interface model for the lyophilization of a packed bed of spray-frozen particles
2023 Stratta, Lorenzo; Adali, Merve B.; Barresi, Antonello A.; Boccardo, Gianluca; Marcato, Agnese; Tuccinardi, Raffaele; Pisano, Roberto
Deep neural networks as data-driven models for flow and transport in porous media
2023 Marcato, Agnese
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
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.
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Machine learning for multivariate parameter identification of first-principle model: the Mg(OH)2 test case / Raponi, Antonello; Marcato, Agnese; Boccardo, Gianluca; Buffo, Antonio; Vanni, Marco; Marchisio, Daniele. - (In corso di stampa). (Intervento presentato al convegno International Symposium on Industrial Crystallization 2023 tenutosi a Glasgow nel 5 - 8 September 2023). | In corso di stampa | Raponi, AntonelloMarcato, AgneseBoccardo, GianlucaBuffo, AntonioVanni MarcoMarchisio Daniele | - |
| 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 |
| A diffused-interface model for the lyophilization of a packed bed of spray-frozen particles / Stratta, Lorenzo; Adali, Merve B.; Barresi, Antonello A.; Boccardo, Gianluca; Marcato, Agnese; Tuccinardi, Raffaele; Pisano, Roberto. - In: CHEMICAL ENGINEERING SCIENCE. - ISSN 0009-2509. - STAMPA. - 275:(2023), pp. 1-14. [10.1016/j.ces.2023.118726] | 1-gen-2023 | Lorenzo StrattaMerve B. AdaliAntonello A. BarresiGianluca BoccardoAgnese MarcatoRoberto Pisano + | 2023_CES_275-118726_Diffuse_interface_packed-bed_lyophilization.pdf; 2023_CES_SFD_postprint_Authors_accepted_manuscript.pdf |
| Deep neural networks as data-driven models for flow and transport in porous media / Marcato, Agnese. - (2023 Oct 05), pp. 1-163. | 5-ott-2023 | MARCATO, AGNESE | conv_tesi_marcato_agnese.pdf; conv_summary_marcato_agnese.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 |
| 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 |
| 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 |