| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Printed Electronics and Additive Manufacturing: Advanced Functional Materials, Processing Concepts, and Emerging Applications
|
| Presentation Title |
Discovery and Optimization of Conductive Nanoparticle Inks for Printed Electronics using an Autonomous Ecosystem |
| Author(s) |
Alison Nicole Roth |
| On-Site Speaker (Planned) |
Alison Nicole Roth |
| Abstract Scope |
Conductive nanoparticle inks (i.e. Cu, Ag, Au) are critical technologies for additively manufactured electronics, but they often suffer from reduced conductivity and robustness under stress. We believe that integrating artificial intelligence and machine learning with autonomous synthesis processes will significantly expedite ink discovery and optimization for next generation printed electronics. To this end, we are developing an autonomous ecosystem to selectively target and characterize monodisperse silver nanoparticles using high-throughput methods. Our central hypothesis is that the nanoparticle properties, ink printing processes, and resulting conductivity can be optimized by manipulating the stoichiometric ratio of nanoparticle surface functionalizing ligands as well as the concentration and chemical composition of reducing agents. Utilizing a custom Bayesian optimization algorithm to assess the nanoparticle properties and inform our new design of experiments, we demonstrate an iterative process for rapidly optimizing synthetic parameters that will accelerate synthesis and fabrication strategies for metal nanoparticle inks. |
| Proceedings Inclusion? |
Planned: |