About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
Leveraging In-Situ Raman Spectroscopy for Thermodynamic and Kinetic Studies in Self-Driving Lab by Using Chocolate As Frugal Twin |
Author(s) |
Kinston Ackölf, Taylor D Sparks |
On-Site Speaker (Planned) |
Kinston Ackölf |
Abstract Scope |
This study leverages a DIY in-situ Raman spectroscopy module within an autonomous research lab, using chocolate as a frugal twin to mimic materials processing. By integrating real-time Raman data with AI/ML models, we investigate the thermodynamics and kinetics of chocolate, serving as a proof of concept for more complex materials. This approach enhances the prediction of phase transitions, stability, and microstructural evolution. Our method demonstrates significant advancements in lowering the entry barrier of computational tools in self-driving labs, enabling the discovery and design of novel materials with controlled properties, while emphasizing high-throughput methods. |
Proceedings Inclusion? |
Planned: |
Keywords |
Process Technology, Other, Machine Learning |