Teo Lombardo
Justus-Liebig-Universität Gießen(DE)
Publications by Year
Research Areas
Advancements in Battery Materials, Advanced Battery Technologies Research, Supercapacitor Materials and Fabrication, Advanced Battery Materials and Technologies, Machine Learning in Materials Science
Most-Cited Works
- → Artificial Intelligence Applied to Battery Research: Hype or Reality?(2021)438 cited
- → 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 manufacturing(2020)219 cited
- → Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies(2019)144 cited
- → Lithium ion battery electrodes predicted from manufacturing simulations: Assessing the impact of the carbon-binder spatial location on the electrochemical performance(2019)125 cited
- → Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning(2020)120 cited
- → Carbon-Binder Migration: A Three-Dimensional Drying Model for Lithium-ion Battery Electrodes(2021)107 cited
- → 4D-resolved physical model for Electrochemical Impedance Spectroscopy of Li(Ni1-x-yMnxCoy)O2-based cathodes in symmetric cells: Consequences in tortuosity calculations(2020)98 cited
- → Accelerated Optimization Methods for Force‐Field Parametrization in Battery Electrode Manufacturing Modeling(2020)73 cited
- → ToF-SIMS in battery research: Advantages, limitations, and best practices(2023)53 cited
- → An experimentally-validated 3D electrochemical model revealing electrode manufacturing parameters’ effects on battery performance(2022)48 cited