| Artificial intelligence applied to battery research: hype or reality? T Lombardo, M Duquesnoy, H El-Bouysidy, F Årén, A Gallo-Bueno, ... Chemical reviews 122 (12), 10899-10969, 2021 | 307 | 2021 |
| Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning M Duquesnoy, T Lombardo, M Chouchane, EN Primo, AA Franco Journal of Power Sources 480, 229103, 2020 | 109 | 2020 |
| Fabrication of high-quality thin solid-state electrolyte films assisted by machine learning YT Chen, M Duquesnoy, DHS Tan, JM Doux, H Yang, G Deysher, ... ACS Energy Letters 6 (4), 1639-1648, 2021 | 81 | 2021 |
| Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations M Duquesnoy, C Liu, DZ Dominguez, V Kumar, E Ayerbe, AA Franco Energy Storage Materials 56, 50-61, 2023 | 70 | 2023 |
| Accelerated optimization methods for force‐field parametrization in battery electrode manufacturing modeling T Lombardo, JB Hoock, EN Primo, AC Ngandjong, M Duquesnoy, ... Batteries & Supercaps 3 (8), 721-730, 2020 | 64 | 2020 |
| Data specifications for battery manufacturing digitalization: current status, challenges, and opportunities FM Zanotto, DZ Dominguez, E Ayerbe, I Boyano, C Burmeister, ... Batteries & Supercaps 5 (9), e202200224, 2022 | 52 | 2022 |
| Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity M Duquesnoy, I Boyano, L Ganborena, P Cereijo, E Ayerbe, AA Franco Energy and AI 5, 100090, 2021 | 52 | 2021 |
| Exocomets size distribution in the Pictoris planetary system A Lecavelier des Etangs, L Cros, G Hébrard, E Martioli, M Duquesnoy, ... Scientific Reports 12 (1), 5855, 2022 | 36 | 2022 |
| Machine learning 3D-resolved prediction of electrolyte infiltration in battery porous electrodes A Shodiev, M Duquesnoy, O Arcelus, M Chouchane, J Li, AA Franco Journal of Power Sources 511, 230384, 2021 | 35 | 2021 |
| What can text mining tell us about lithium‐ion battery researchers’ habits? H El‐Bousiydy, T Lombardo, EN Primo, M Duquesnoy, M Morcrette, ... Batteries & Supercaps 4 (5), 758-766, 2021 | 35 | 2021 |
| The ARTISTIC online calculator: exploring the impact of lithium‐ion battery electrode manufacturing parameters interactively through your browser T Lombardo, F Caro, AC Ngandjong, JB Hoock, M Duquesnoy, ... Batteries & Supercaps 5 (3), e202100324, 2022 | 26 | 2022 |
| Three-dimensional physical modeling of the wet manufacturing process of solid-state battery electrodes M Alabdali, FM Zanotto, M Duquesnoy, AK Hatz, D Ma, J Auvergniot, ... Journal of Power Sources 580, 233427, 2023 | 20 | 2023 |
| Evidence for SO2 latitudinal variations below the clouds of Venus E Marcq, I Amine, M Duquesnoy, B Bézard Astronomy & Astrophysics 648, L8, 2021 | 15 | 2021 |
| Toward high-performance energy and power battery cells with machine learning-based optimization of electrode manufacturing M Duquesnoy, C Liu, V Kumar, E Ayerbe, AA Franco Journal of Power Sources 590, 233674, 2024 | 14 | 2024 |
| Functional data-driven framework for fast forecasting of electrode slurry rheology simulated by molecular dynamics M Duquesnoy, T Lombardo, F Caro, F Haudiquez, AC Ngandjong, J Xu, ... npj Computational Materials 8 (1), 161, 2022 | 12 | 2022 |
| Accelerating battery manufacturing optimization by combining experiments M Duquesnoy, T Lombardo, M Chouchane, EN Primo, AA Franco Silico Electrodes Generation and Machine Learning, ChemRxiv. Prepr, 1-33, 2020 | 10 | 2020 |
| Accelerated optimization methods for force-field parametrization in battery electrode manufacturing modeling, Batter. Supercaps. 3 (2020) 721–730 T Lombardo, J Hoock, EN Primo, AC Ngandjong, M Duquesnoy, ... | 8 | |
| Machine learningassisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations, Energy Storage Mater. 56 (2023) 50–61 M Duquesnoy, C Liu, DZ Dominguez, V Kumar, E Ayerbe, AA Franco | 7 | |
| The ARTISTIC Online Calculator: Exploring the Impact of Lithium-Ion Battery Electrode Manufacturing Parameters Interactively Through Your Browser, Batter. Supercaps. 5 (2022 … T Lombardo, F Caro, AC Ngandjong, JB Hoock, M Duquesnoy, ... | 7 | |
| Hassna El-Bouysidy, Fabian Årén, Alfonso Gallo-Bueno, Peter Bjørn Jørgensen, Arghya Bhowmik, Arnaud Demortiere, Elixabete Ayerbe, Francisco Alcaide, et al T Lombardo, M Duquesnoy Artificial intelligence applied to battery research: hype or reality, 1-4, 2021 | 5 | 2021 |