| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Real Time Imaging
|
| Presentation Title |
Real-Time Imaging and Analysis of Electroconvection Using Advanced Fluorescence Microscopy and Cloud Algorithms |
| Author(s) |
Duhan Zhang |
| On-Site Speaker (Planned) |
Duhan Zhang |
| Abstract Scope |
In high current density electrochemical cells, electroconvection critically influences the morphology of electrodeposited metals, often causing dendrite formation and battery failure. Despite extensive research, the detailed structure and dynamics of electroconvection have remained elusive due to insufficient resolution in experimental observations and underdeveloped data processing algorithms.
To address this, we developed an advanced optical electrochemical cell compatible with super-resolution fluorescence microscopy for in situ imaging. This setup enables real-time observation of electrolyte movements with unprecedented temporal and spatial resolution. Complementing these visual studies, we created a cloud-computing analysis algorithm that combines high-resolution Particle Image Velocimetry and machine learning to produce detailed velocity distribution maps at the nanoscale. Using these tools, we examined the impact of polymer viscoelasticity on electroconvection and electrodeposition. Adding ultrahigh molar mass polyethylene oxide to the electrolyte resulted in a viscoelastic fluid, smoothing electrodeposition on the metal anode and preventing dendrite growth, as confirmed by numerical simulations. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Energy Conversion and Storage, Mechanical Properties |