Marc Duquesnoy

Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning

Marc Duquesnoy, Teo Lombardo, Mehdi Chouchane et al. · Journal of Power Sources · 2020 · 117 citations · Full text

Engineering, Machine Learning, Industrial Engineering +21

Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning

Yu‐Ting Chen, Marc Duquesnoy, Darren H. S. Tan et al. · ACS Energy Letters · 2021 · 107 citations · Full text

Engineering, Machine Learning, Electrode-electrolyte Interface +16

Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations

Marc Duquesnoy, Chaoyue Liu, Diana Zapata Dominguez et al. · Energy storage materials · 2022 · 99 citations · Full text

Engineering, Machine Learning, Industrial Engineering +20

Accelerated Optimization Methods for Force‐Field Parametrization in Battery Electrode Manufacturing Modeling

Teo Lombardo, Jean‐Baptiste Hoock, Emiliano N. Primo et al. · Batteries & Supercaps · 2020 · 71 citations · Full text

Numerical Analysis, Engineering, Mechanical Engineering +22

Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

Franco M. Zanotto, Diana Zapata Dominguez, Elixabete Ayerbe et al. · Batteries & Supercaps · 2022 · 60 citations · Full text

Engineering, Digital Twinning, Digital Manufacturing +19