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Teo Lombardo
Teo Lombardo
International Energy Agency
Verified email at iea.org - Homepage
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Year
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
2062021
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 ˇK
AC Ngandjong, T Lombardo, EN Primo, M Chouchane, A Shodiev, ...
Journal of Power Sources 485, 229320, 2021
1512021
Artificial intelligence investigation of NMC cathode manufacturing parameters interdependencies
RP Cunha, T Lombardo, EN Primo, AA Franco
Batteries & Supercaps 3 (1), 60-67, 2020
1192020
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
1062019
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
932020
4D-resolved physical model for Electrochemical Impedance Spectroscopy of Li (Ni1-x-yMnxCoy) O2-based cathodes in symmetric cells: Consequences in tortuosity calculations
A Shodiev, EN Primo, M Chouchane, T Lombardo, AC Ngandjong, ...
Journal of Power Sources 454, 227871, 2020
762020
Carbon-binder migration: A three-dimensional drying model for lithium-ion battery electrodes
T Lombardo, AC Ngandjong, A Belhcen, AA Franco
Energy Storage Materials 43, 337-347, 2021
602021
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
502020
What can text mining tell us about lithium‐ion battery researchersˇ¦ habits?
H El‐Bousiydy, T Lombardo, EN Primo, M Duquesnoy, M Morcrette, ...
Batteries & Supercaps 4 (5), 758-766, 2021
302021
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
222022
Towards a 3D-resolved model of Si/Graphite composite electrodes from manufacturing simulations
C Liu, O Arcelus, T Lombardo, H Oularbi, AA Franco
Journal of Power Sources 512, 230486, 2021
202021
An experimentally-validated 3D electrochemical model revealing electrode manufacturing parametersˇ¦ effects on battery performance
C Liu, T Lombardo, J Xu, AC Ngandjong, AA Franco
Energy Storage Materials 54, 156-163, 2023
162023
Experimentally Validated Three‐Dimensional Modeling of Organic‐Based Sodium‐Ion Battery Electrode Manufacturing
T Lombardo, F Lambert, R Russo, FM Zanotto, C Frayret, G Toussaint, ...
Batteries & Supercaps 5 (8), e202200116, 2022
132022
Electrochemical detection of droplets in microfluidic devices: Simultaneous determination of velocity, size and content
T Lombardo, L Lancellotti, C Souprayen, C Sella, L Thouin
Electroanalysis 31 (11), 2103-2111, 2019
122019
ToF-SIMS in battery research: Advantages, limitations, and best practices
T Lombardo, F Walther, C Kern, Y Moryson, T Weintraut, A Henss, ...
Journal of Vacuum Science & Technology A 41 (5), 2023
112023
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
112020
Artificial intelligence investigation of NMC cathode manufacturing parameters interdependencies, Batter. Supercaps. 3 (2020) 60ˇV67
RP Cunha, T Lombardo, EN Primo, AA Franco
9
Electrochemical assessments of droplet contents in microfluidic channels. Application to the titration of heterogeneous droplets
T Delahaye, T Lombardo, C Sella, L Thouin
Analytica Chimica Acta 1155, 338344, 2021
72021
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
62022
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
62021
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