Skip to content

Author

Mengda Xing

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries

A novel deep learning surrogate pipeline based on the Swin3D Transformer is introduced to predict spatiotemporal discharge dynamics directly from volumetric data, providing a scalable and efficient framework for high-throughput battery design and optimization.

Mengda Xing, Jean-Marie Lagniez, Alejandro A. Franco · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.