Ph.D. in Ingegneria Chimica , 35th cycle (2019-2022)
Ph.D. obtained in 2023
Dissertation:
Deep neural networks as data-driven models for flow and transport in porous media (Abstract)
Tutors:
Daniele Marchisio Gianluca BoccardoTeaching
Teachings
Master of Science
- Fenomeni di trasporto e Fluidodinamica computazionale (modulo di Fluidodinamica computazionale). A.A. 2020/21, INGEGNERIA CHIMICA E DEI PROCESSI SOSTENIBILI. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Marcato, Agnese; Santos, Javier E.; Boccardo, Gianluca; Viswanathan, Hari; Marchisio, ... (2023)
Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network. In: CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947
Contributo su Rivista - Marcato, Agnese (2023)
Deep neural networks as data-driven models for flow and transport in porous media. relatore: MARCHISIO, DANIELE; BOCCARDO, GIANLUCA; , 35. XXXV Ciclo, P.: 163
Doctoral Thesis - Marcato, A.; Boccardo, G.; Marchisio, D. (2022)
From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media. In: INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. ISSN 0888-5885
Contributo su Rivista - Marcato, A.; Boccardo, G.; Marchisio, D. (2021)
A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning. In: CHEMICAL ENGINEERING JOURNAL, vol. 417. ISSN 1385-8947
Contributo su Rivista