Demonstrated an automated materials multifunctional characterization platform with computer-centered experiments using real-time data fitting and modeling response.
Significance and Impact
This advance provides a flexible multi-instrument hardware-software platform, for efficient computer-controlled material characterization, data processing, and modeling. The system can be integrated with ML-controlled materials syntheses for autonomous materials discovery.
- Developed, built, and integrated a capability for simultaneous measurement of viscoelastic, electric (DC and AC), and optical responses of thin films (polymers, small molecules, and nanomaterials) in vacuum and ambient dynamic environments
- Real time computer-controlled optimization of experiment based on an active feedback loop
- Cloud-based data analytics including advanced data fitting and modeling using machine learning (ML) algorithms
E.S. Muckley, et al., ACS Applied Materials & Interfaces 15, 2329-2340 (2023). DOI: 10/1021/acsami2c16088