Dr. Alexis Rucci

Joined as one of two founding engineers to build the battery multiphysics simulation capability from scratch. The team has since grown to > 20 members. • Developed a P2D electrochemical model for silicon-blend anodes from scratch, replacing internal ECM-only methods, to evaluate fast-charging limitations and lithium plating risk. Developed 3D electrothermal model for large format cells, covering from cell to system. Supervision and mentorship of junior engineers, interns and students.

• Introduced multiphysics battery modelling into a group previously focused on atomistic simulations. Developed a fully resolved 3D electrochemical model at microstructure level for blended NMC-LMO cathodes, investigating performance synergies in mixed active-material electrodes. • Contributed to the PERTE-VEC (Electric and Connected Vehicle) and Elkartek CICE (hybridisation strategies for energy storage) programmes. • Supervised an MSc thesis on Intermittent Current Interruption for electrode parameteris

• Funded by H2020 CompBat. Developed physics-based electrochemical models for redox flow battery systems incorporating electrolyte flow and tank dynamics. • Modelled solid booster (LFP) integration using a Butler-Volmer-type framework to estimate effective tank concentration and energy density impact. Contributed to a resulting peer-reviewed publication. • Delivered guest lectures on electrochemical modelling of lithium-ion batteries to Master's students at Lulea Tekniska Universitet, Uppsala Universitet,

• Designed and delivered the course Multiscale Modelling Tools for the Simulation of Rechargeable Batteries to IFP School Master's students. • Format combined theoretical lectures with hands-on MATLAB modelling exercises. Content covered battery fundamentals, electrochemistry, thermal behaviour, failure mechanisms, and manufacturing processes.

• Contributed to POROUS4APP (H2020) and ARTISTIC (ERC Consolidator Grant, one of the most competitive European Research Council awards). Both projects focused on electrode mesostructure modelling and the link between manufacturing, microstructure, and electrochemical performance. • Reconstructed 3D electrode mesostructures from X-ray tomography data, converting segmented voxel images into COMSOL-compatible meshes for fully resolved electrochemical simulation. • Conducted one of the first studies on the in

• Monte Carlo dosimetry for small radiotherapy fields. Developed virtual source models for clinical linear accelerators using reverse engineering of IAEA open-access data, validated against international experimental collaborators.

• Over a decade of teaching across electromagnetism, classical mechanics, and introductory physics. Progressed from undergraduate teaching assistant to Head Teaching Assistant and summer school lecturer. Also served as Invited Professor at Universidad de la Republica, Uruguay (2016).

Course: Monte Carlo Radiation Transport in Medical Physics

Thesis focus: Monte Carlo simulation of radiation transport for medical linear accelerator commissioning. The quantitative physics and image analysis methods developed here directly transferred to electrode mesostructure reconstruction in battery research.