Jia Yu

jia.yu@u-picardie.fr

03 22 82 53 42

Jia
Yu

• PhD

• Linkedin
• 
  Modeling

Tél. : 03 22 82 53 42

Contact

Appeler

Thématique(s)

• Synthèses, surfaces, interfaces
• Matériaux organiques, hybrides et polymères pour l’énergie
• Electrochimie et optimisation des dispositifs pour le stockage électrochimique

Descriptif des activités de recherche

I’m currently focusing on developing a series of innovative physical models to simulate the electrochemical behaviour of redox flow batteries by, which includes the anolytes and the catholytes based on organic molecules. The novelty of this modelling is the model scale (mesoscopic) and the computational approaches (kinetic Monte Carlo, continuum, etc.). By analysing the output of the model, the performance of the redox couple tested can be estimated for further researches.
This model will be a part of European SONAR project, which intend to develop a framework for the simulation-based screening of electroactive materials for aqueous and non-aqueous organic redox flow batteries.

Supervisor     Prof. Alejandro A. Franco

Parcours

• Master 2 (Arts et Métiers ParisTech, 2018-2019)
• Engineer diplôme (Arts et Métiers ParisTech, 2016-2018)

Compétences

Python, Matlab, Simulink, CATIA, AutoCad

Projets en cours

SONAR is a European project for four years funded by European Union

Diffusion coefficient and viscosity of Methyl Viologen electrolyte estimation based on a Kinetic Monte Carlo computational approach coupled with the Mean Square Displacement method

Jia Yu, Emmanuel Baudrin, Alejandro A. Franco

Batteries & Supercaps,

2024

Optimization of the microstructure of carbon felt electrodes by applying the lattice Boltzmann method and Bayesian optimizer

Jia Yu, Marc Duquesnoy, Chaoyue Liu, Alejandro A. Franco

Journal of Power Sources,

2023

Machine learning for optimal electrode wettability in lithium ion batteries

Amina El Malki, Mark Asch, Oier Arcelus, Abbos Shodiev, Jia Yu, Alejandro A. Franco

Journal of Power Sources Advances,

2023

Gaining Insight into the Electrochemical Interface Dynamics in an Organic Redox Flow Battery with a Kinetic Monte Carlo Approach

Jia Yu, Garima Shukla, Rocco Peter Fornari, Oier Arcelus, Abbos Shodiev, Piotr de Silva, Alejandro A. Franco

Small,

2022

Designing Electrode Architectures to Facilitate Electrolyte Infiltration for Lithium-Ion Batteries

Abbos Shodiev, Franco M. Zanotto, Jia Yu, Mehdi Chouchane, Jianlin Li, Alejandro A. Franco

Energy Storage Materials,

2022

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Publications

Diffusion coefficient and viscosity of Methyl Viologen electrolyte estimation based on a Kinetic Monte Carlo computational approach coupled with the Mean Square Displacement method

Optimization of the microstructure of carbon felt electrodes by applying the lattice Boltzmann method and Bayesian optimizer

Machine learning for optimal electrode wettability in lithium ion batteries

Gaining Insight into the Electrochemical Interface Dynamics in an Organic Redox Flow Battery with a Kinetic Monte Carlo Approach