Collaborative Research: EAGER: Low-Sintering 2D Materials for AI-Assisted On-Demand Manufa — NSF Award to Oregon State University
The goal of the project is to develop novel advanced materials integrated with real-time process feedback, assisted by a machine learning algorithm, to enable scalable, autonomous in-situ manufacturing of electronics. The technology will provide capabilities for on-demand fabrication, adaptive repair, and dynamic recon
| Award title | Collaborative Research: EAGER: Low-Sintering 2D Materials for AI-Assisted On-Demand Manufa |
|---|---|
| Award ID | 2540355 |
| Awardee | Oregon State University |
| City | CORVALLIS |
| State | OR |
| Amount obligated | $70,000 |
| Principal investigator | Nirmala Kandadai |
| Program | Special Projects |
| Start date | 09/01/2025 |
| Abstract | The goal of the project is to develop novel advanced materials integrated with real-time process feedback, assisted by a machine learning algorithm, to enable scalable, autonomous in-situ manufacturing of electronics. The technology will provide capabilities for on-demand fabrication, adaptive repair, and dynamic reconfiguration of circuits, functions that are particularly critical for long-duration space missions where resupply is difficult. These enhanced materials and manufacturing processes |
| Source | NSF Awards |
$799/mo
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