| Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges AA Franco Rsc Advances 3 (32), 13027-13058, 2013 | 277 | 2013 |
| Boosting rechargeable batteries R&D by multiscale modeling: myth or reality? AA Franco, A Rucci, D Brandell, C Frayret, M Gaberscek, P Jankowski, ... Chemical reviews 119 (7), 4569-4627, 2019 | 269 | 2019 |
| Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale T Jahnke, G Futter, A Latz, T Malkow, G Papakonstantinou, G Tsotridis, ... Journal of Power Sources 304, 207-233, 2016 | 248 | 2016 |
| 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 | 232 | 2021 |
| Rechargeable batteries of the future—the state of the art from a BATTERY 2030+ perspective M Fichtner, K Edström, E Ayerbe, M Berecibar, A Bhowmik, IE Castelli, ... Advanced Energy Materials 12 (17), 2102904, 2022 | 215 | 2022 |
| A multi‐scale dynamic mechanistic model for the transient analysis of PEFCs AA Franco, P Schott, C Jallut, B Maschke Fuel cells 7 (2), 99-117, 2007 | 168 | 2007 |
| Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery … AC Ngandjong, T Lombardo, EN Primo, M Chouchane, A Shodiev, ... Journal of Power Sources 485, 229320, 2021 | 159 | 2021 |
| Multiscale model of carbon corrosion in a PEFC: coupling with electrocatalysis and impact on performance degradation AA Franco, M Gerard Journal of The Electrochemical Society 155 (4), B367, 2008 | 143 | 2008 |
| Transient multiscale modeling of aging mechanisms in a PEFC cathode AA Franco, M Tembely Journal of the Electrochemical Society 154 (7), B712, 2007 | 134 | 2007 |
| How machine learning will revolutionize electrochemical sciences A Mistry, AA Franco, SJ Cooper, SA Roberts, V Viswanathan ACS energy letters 6 (4), 1422-1431, 2021 | 127 | 2021 |
| Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies R Pinto-Cunha, T Lombardo, E Primo, AA Franco Batteries & Supercaps, 2019 | 127* | 2019 |
| A roadmap for transforming research to invent the batteries of the future designed within the european large scale research initiative battery 2030+ J Amici, P Asinari, E Ayerbe, P Barboux, P Bayle‐Guillemaud, RJ Behm, ... Advanced energy materials 12 (17), 2102785, 2022 | 114 | 2022 |
| Lithium ion battery electrodes predicted from manufacturing simulations: Assessing the impact of the carbon-binder spatial location on the electrochemical performance M Chouchane, A Rucci, T Lombardo, AC Ngandjong, AA Franco Journal of Power Sources 444, 227285, 2019 | 109 | 2019 |
| Impact of carbon monoxide on PEFC catalyst carbon support degradation under current-cycled operating conditions AA Franco, M Guinard, B Barthe, O Lemaire Electrochimica Acta 54 (22), 5267-5279, 2009 | 109 | 2009 |
| A dynamic mechanistic model of an electrochemical interface AA Franco, P Schott, C Jallut, B Maschke Journal of the Electrochemical Society 153 (6), A1053, 2006 | 109 | 2006 |
| Impact of the cathode microstructure on the discharge performance of lithium air batteries: a multiscale model KH Xue, TK Nguyen, AA Franco Journal of The Electrochemical Society 161 (8), E3028, 2014 | 103 | 2014 |
| Multi-scale coupling between two dynamical models for PEMFC aging prediction C Robin, M Gerard, AA Franco, P Schott international journal of hydrogen energy 38 (11), 4675-4688, 2013 | 98 | 2013 |
| Microstructure-based modeling of aging mechanisms in catalyst layers of polymer electrolyte fuel cells K Malek, AA Franco The Journal of Physical Chemistry B 115 (25), 8088-8101, 2011 | 97 | 2011 |
| Bridging nano-and microscale X-ray tomography for battery research by leveraging artificial intelligence J Scharf, M Chouchane, DP Finegan, B Lu, C Redquest, M Kim, W Yao, ... Nature Nanotechnology 17 (5), 446-459, 2022 | 96 | 2022 |
| 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 | 95 | 2020 |
