About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
Autonomous Scanning Droplet Cell for On-demand Alloy Electrodeposition and Characterization |
Author(s) |
Brian DeCost, Howie Joress, Stephen Ambrozik, Trevor Braun, Zachary Trautt, Aaron Gilad Kusne, Jason Hattrick-Simpers |
On-Site Speaker (Planned) |
Brian DeCost |
Abstract Scope |
We are developing an autonomous scanning droplet cell (ASDC) capable of on-demand electrodeposition and real-time electrochemical characterization for investigating the corrosion-resistance properties of multicomponent alloys. The ASDC is a millimeter-scale electrochemical cell with a programmable pump array that can electrodeposit an alloy film and immediately acquire polarization curves to obtain electrochemical quantities of interest, such as passive current density and oxide breakdown potential. We develop active machine learning algorithms for experimentally mapping Pourbaix diagrams. We demonstrate this approach to multicomponent Pourbaix diagrams, benchmarking on well-characterized unary systems and prefabricated combinatorial composition spread thin films. We will also discuss the ongoing development of on-demand alloy electrodeposition techniques to enable exploration of higher-order Pourbaix diagrams. Finally, we will discuss the incorporation of prior knowledge in the form of theoretical and data-driven predictive models, such as the Materials Project computed Pourbaix diagrams. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |