| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Materials for Energy Conversion and Storage 2024
|
| Presentation Title |
An Emerging Paradigm of Learning Electrolyte Mass Transport Behavior from Operando Concentration Profiles |
| Author(s) |
Aashutosh Mistry, Hans-Georg Steinrück, Michael Toney, Nitash Balsara, Venkat Srinivasan |
| On-Site Speaker (Planned) |
Aashutosh Mistry |
| Abstract Scope |
Understanding electrolyte mass transport1–3 is critical to new battery chemistries, e.g., lithium metal battery, lithium-sulfur battery, etc., as well as new applications of the existing lithium-ion cells such as extreme fast charging and cold-start. Traditionally it requires involved electrochemical measurements of multiple transport properties4–6, which makes understanding electrolyte transport across a useful concentration range particularly challenging. In recent years, various imaging techniques7–9 have been developed to probe electrolyte concentration and velocity fields. Such measurements offer more detailed information as compared to the macroscopic electrochemical experiments. As a result, a new paradigm of analyzing the concentration profiles to understand electrolyte mass transport has emerged10. In this talk, we will show how a combination of operando measurements of concentration profiles, concentrated solution theory, and active learning offers an accelerated approach to understanding electrolyte transport. Such an approach is particularly suited to more complex electrolytes for the next-generation batteries. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Energy Conversion and Storage, Characterization, Machine Learning |