| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Accelerated Discovery and Insertion of Next Generation Structural Materials
|
| Presentation Title |
Accelerating Multimodal Data Collection: A Workflow for Metallic Films |
| Author(s) |
Kimberly Bassett, Brad Boyce |
| On-Site Speaker (Planned) |
Kimberly Bassett |
| Abstract Scope |
Accelerated materials discovery through statistical or machine learning methods necessitates the generation of large data sets. While automated workflows for materials characterization proliferate in industry, specific tools for smaller laboratories are scarce in the literature. Here, we detail a general workflow for accelerating the multimodal characterization of metallic electrodeposited films in pursuit of improving their tribological properties. Methods such as sample tracking, maximization of available instrument features, custom sample fixturing, and strategies to overcome instrument limitations facilitate process acceleration to achieve a high throughput workflow, minimize human bias during characterization, and expedite repetitive tasks. The workflow efficacy is evaluated by key factors such as data repeatability and human capital saved. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Copper / Nickel / Cobalt, Other |