Towards automated design of corrosion resistant alloy coatings with an autonomous scanning droplet cell

Authors:
  • BDBrian DeCost
    Brian DeCost
  • HJHowie Joress
    Howie Joress
  • SSSuchismita Sarker
    Suchismita Sarker
  • AMApurva Mehta
    Apurva Mehta
  • JHJason Hattrick-Simpers
    Jason Hattrick-Simpers
Preprint
Publisher website
Google Scholar
Abstract
We present an autonomous scanning droplet cell platform designed for on-demand alloy electrodeposition and real-time electrochemical characterization for investigating the corrosion-resistance properties of multicomponent alloys. Automation and machine learning are currently driving rapid innovation in high throughput and autonomous materials design and discovery. We present two alloy design case studies: one focusing on a multi-objective corrosion resistant alloy optimization, and a case study highlighting the complexity of the multimodal characterization needed to provide insight into the underlying structural and chemical factors that drive observed material behavior. This motivates a close coupling between autonomous research platforms and scientific machine learning methodology that blends mechanistic physical models and black box machine learning models. This emerging research area presents new opportunities to accelerate materials synthesis, evaluation, and hence discovery and design.
All Related Versions