Archivio Istituzionale della RicercaMARCATO, AGNESE
MARCATO, AGNESE
Dipartimento Scienza Applicata e Tecnologia
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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
Material Fracturing and Failure Simulation Datasets
2026 Hill, Ryley G.; Gao, Kai; Pachalieva, Aleksandra; Marcato, Agnese; Wang, Xiaoyu; Grosset, Pascal; Rougier, Esteban; Lei, Zhou; Santos, Javier E.; Agrawal, Vinamra; Kang, Qinjun; Hyman, Jeffrey D.; Hunter, Abigail; Sweeney, Christine M.; Debardeleben, Nathan; Lawrence, Earl; Viswanathan, Hari; O'Malley, Daniel
Synthetic Training Enables Deployment on Raw Drone Data: An Attention-Based Framework for Detecting Orphan Wells
2026 Marcato, Agnese; Colman, Roman; Milazzo, Damien; Guiltinan, Eric; Ma, Zhiwei; O'Malley, Daniel; Viswanathan, Hari; E. Santos, Javier
Artificial intelligence in colloid and interface science: Current research, challenges and future directions
2025 Sridharan, Simha; Bailey, Tom; Marcato, Agnese; Simone, Elena; Watson, Nicholas
Attention‐Based Reconstruction of Full‐Field Tsunami Waves From Sparse Tsunameter Networks
2025 Mcdugald, Edward; Mohan, Arvind; Engwirda, Darren; Marcato, Agnese; E. Santos, Javier
Comparative Analysis via CFD Simulation on the Impact of Graphite Anode Morphologies on the Discharge of a Lithium-Ion Battery
2025 Lombardo Pontillo, Alessio; Marcato, Agnese; Versaci, Daniele; Marchisio, Daniele; Boccardo, Gianluca
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
2025 Santos, Javier E.; Marcato, Agnese; Colman, Roman; Lubbers, Nicholas; Ting Lin, Yen
Enhancing Mass Transfer Coefficient Prediction from Field Emission Scanning Electron Microscope Images Through Convolutional Neural Networks and Data Augmentation Techniques
2025 Marcato, Agnese; Boccardo, Gianluca; Pisano, Roberto
Accelerating Multiphase Simulations With Denoising Diffusion Model Driven Initializations
2024 Chung, Jaehong; Marcato, Agnese; Guiltinan, Eric J.; Mukerji, Tapan; Viswanathan, Hari; Lin, Yen Ting; Santos, Javier E.
Journey over destination: dynamic sensor placement enhances generalization
2024 Marcato, Agnese; Guiltinan, Eric; Viswanathan, Hari; O'Malley, Daniel; Lubbers, Nicholas; Santos, Javier E
Learning a general model of single phase flow in complex 3D porous media
2024 Santos, Javier E; Marcato, Agnese; Kang, Qinjun; Mehana, Mohamed; O'Malley, Daniel; Viswanathan, Hari; Lubbers, Nicholas
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
A multiscale approach to simulate vacuum drying of a packed bed of spray-frozen particles
2023 Stratta, L.; Pisano, R.; Adali, M. B.; Boccardo, G.; Barresi, A.; Marcato, A.; Tuccinardi, R.
Deep neural networks as data-driven models for flow and transport in porous media
2023 Marcato, Agnese
Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework
2023 Marcato, Agnese; Santos, Javier E.; Liu, Chaoyue; Boccardo, Gianluca; Marchisio, Daniele; Franco, Alejandro A.
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, A., Marcato, A., Boccardo, G., Buffo, A., Vanni, M., Marchisio, D.. - (In corso di stampa). (International Symposium on Industrial Crystallization 2023 Glasgow 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 |
| Material Fracturing and Failure Simulation Datasets / Hill, R.G., Gao, K., Pachalieva, A., Marcato, A., Wang, X., Grosset, P., Rougier, E., Lei, Z., Santos, J.E., Agrawal, V., Kang, Q., Hyman, J.D., Hunter, A., Sweeney, C.M., Debardeleben, N., Lawrence, E., Viswanathan, H., O'Malley, D.. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 13:1(2026), pp. 1-19. [10.1038/s41597-025-06412-8] | 1-gen-2026 | Marcato, Agnese + | s41597-025-06412-8 (1).pdf |
| Synthetic Training Enables Deployment on Raw Drone Data: An Attention-Based Framework for Detecting Orphan Wells / Marcato, Agnese; Colman, Roman; Milazzo, Damien; Guiltinan, Eric; Ma, Zhiwei; O'Malley, Daniel; Viswanathan, Hari; E. Santos, Javier. - In: SENSORS. - ISSN 1424-8220. - 26:9(2026), pp. 1-13. [10.3390/s26092573] | 1-gen-2026 | Marcato, Agnese + | sensors-26-02573.pdf |
| Artificial intelligence in colloid and interface science: Current research, challenges and future directions / Sridharan, Simha; Bailey, Tom; Marcato, Agnese; Simone, Elena; Watson, Nicholas. - In: CURRENT OPINION IN COLLOID & INTERFACE SCIENCE. - ISSN 1359-0294. - 80:(2025). [10.1016/j.cocis.2025.101965] | 1-gen-2025 | Agnese MarcatoElena Simone + | 1-s2.0-S1359029425000718-main.pdf |
| Attention‐Based Reconstruction of Full‐Field Tsunami Waves From Sparse Tsunameter Networks / Mcdugald, E., Mohan, A., Engwirda, D., Marcato, A., E. Santos, J.. - In: GEOPHYSICAL RESEARCH LETTERS. - ISSN 0094-8276. - 52:16(2025), pp. 1-11. [10.1029/2025gl115345] | 1-gen-2025 | Marcato, Agnese + | Geophysical Research Letters - 2025 - McDugald - Attention‐Based Reconstruction of Full‐Field Tsunami Waves From Sparse.pdf |
| Comparative Analysis via CFD Simulation on the Impact of Graphite Anode Morphologies on the Discharge of a Lithium-Ion Battery / Lombardo Pontillo, A., Marcato, A., Versaci, D., Marchisio, D., Boccardo, G.. - In: BATTERIES. - ISSN 2313-0105. - 11:7(2025). [10.3390/batteries11070252] | 1-gen-2025 | Alessio Lombardo PontilloAgnese MarcatoDaniele VersaciDaniele MarchisioGianluca Boccardo | batteries-ALP_compressed.pdf |
| Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling / Santos, Javier E.; Marcato, Agnese; Colman, Roman; Lubbers, Nicholas; Ting Lin, Yen. - (2025). ( 39th Conference on Neural Information Processing Systems, NeurIPS 2024 San Diego (US) 30 November- 05 December 2025). | 1-gen-2025 | Agnese Marcato + | 2505.01917v2+(2) (1).pdf |
| Enhancing Mass Transfer Coefficient Prediction from Field Emission Scanning Electron Microscope Images Through Convolutional Neural Networks and Data Augmentation Techniques / Marcato, A., Boccardo, G., Pisano, R.. - In: PROCESSES. - ISSN 2227-9717. - 13:2(2025). [10.3390/pr13020365] | 1-gen-2025 | Marcato, AgneseBoccardo, GianlucaPisano, Roberto | processes-13-00365 (1).pdf |
| Accelerating Multiphase Simulations With Denoising Diffusion Model Driven Initializations / Chung, J., Marcato, A., Guiltinan, E.J., Mukerji, T., Viswanathan, H., Lin, Y.T., Santos, J.E.. - In: JOURNAL OF GEOPHYSICAL RESEARCH. MACHINE LEARNING AND COMPUTATION. - ISSN 2993-5210. - 1:4(2024), pp. 1-13. [10.1029/2024jh000293] | 1-gen-2024 | Marcato, Agnese + | Journal of Geophysical Research Machine Learning and Computation - 2024 - Chung - Accelerating Multiphase Simulations With.pdf |
| Journey over destination: dynamic sensor placement enhances generalization / Marcato, A., Guiltinan, E., Viswanathan, H., O'Malley, D., Lubbers, N., Santos, J.E.. - In: MACHINE LEARNING: SCIENCE AND TECHNOLOGY. - ISSN 2632-2153. - 5:2(2024), pp. 1-13. [10.1088/2632-2153/ad4e06] | 1-gen-2024 | Marcato, Agnese + | Marcato_2024_Mach._Learn.__Sci._Technol._5_025070.pdf |
| Learning a general model of single phase flow in complex 3D porous media / Santos, J.E., Marcato, A., Kang, Q., Mehana, M., O'Malley, D., Viswanathan, H., Lubbers, N.. - In: MACHINE LEARNING: SCIENCE AND TECHNOLOGY. - ISSN 2632-2153. - 5:2(2024). [10.1088/2632-2153/ad45af] | 1-gen-2024 | Marcato, Agnese + | Santos_2024_Mach._Learn.__Sci._Technol._5_025039.pdf |
| A diffused-interface model for the lyophilization of a packed bed of spray-frozen particles / Stratta, L., Adali, M.B., Barresi, A.A., Boccardo, G., Marcato, A., Tuccinardi, R., Pisano, R.. - 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 |
| A multiscale approach to simulate vacuum drying of a packed bed of spray-frozen particles / Stratta, L.; Pisano, R.; Adali, M. B.; Boccardo, G.; Barresi, A.; Marcato, A.; Tuccinardi, R.. - ELETTRONICO. - (2023), pp. 1-7. ( COMSOL Conference 2023 Munich, Germany 25-27 October 2023). | 1-gen-2023 | Stratta L.Pisano R.Adali M. B.Boccardo G.Barresi A.Marcato A. + | A multiscale approach to simulate vacuum drying of a packed bed of spray-frozen particles.pdf; Stratta_4411_presentation.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 |
| Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework / Marcato, A., Santos, J.E., Liu, C., Boccardo, G., Marchisio, D., Franco, A.A.. - In: ENERGY STORAGE MATERIALS. - ISSN 2405-8297. - 63:(2023). [10.1016/j.ensm.2023.102927] | 1-gen-2023 | Marcato, AgneseBoccardo, GianlucaMarchisio, DanieleFranco, Alejandro A. + | Marcato2023.pdf |
| Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network / Marcato, A., Santos, J.E., Boccardo, G., Viswanathan, H., Marchisio, D., Prodanović, M.. - 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 |