This year's symposium will focus on innovations in nanoscale materials characterization including new method development as well as industry-specific applications. Submissions are also invited for special sessions focused on machine learning for materials characterization and imaging (in conjunction with the AI TechConnect Conference); and on industrial applications of x-ray scattering methods.
Back to Top ↑2023 Symposium Sessions |
| Tuesday June 20 |
| 4:00 | Materials Characterization - Posters |
| Wednesday June 21 |
| 9:00 | Materials Characterization |
|
2023 Symposium Program |
| Tuesday June 20 |
|
| 4:00 | Materials Characterization - Posters | Expo Hall AB |
| A Powerful New Tool for Rapid Chemical Characterization of Advanced Manufacturing Materials
E. Williams, J. Putman, P. Willis, Exum Instruments, US |
| Versatile thin film adhesion and scratch testing machine for different material surfaces under various environmental condition
W. Demisse, P. Tyagi, University of the District of Columbia, US |
| A Decade Team Work in Pursuing Discoveries in Nanostructure Membrane Characterizations and Observations of Friedel-oscillation by AFM for Quantum Sensing and Energy Storage Applications
J. Thornton, E.T. Chen, Advanced Biomimetic Sensors, Inc., US |
| Democratizing the Assessment of Thermal Robustness of Metal-Organic Frameworks
S. Bonakala, A. Abutaha, E. Palani, A. Samara, S. Mansour, F. El-Mellouhi, Hamad Bin Khalifa University, QA |
| Chemical identification & characterization of sub-20nm residues and defects with Nano IR PiFM
P. O'Hara, Molecular Vista, Inc., US |
| High Resolution Measurement of Potential-Dependent Electrochemical Activities on HOPG Using Scanning Electrochemical Cell Microscopy (SECCM)
M-H. Choi, S-J. Cho, L.A. Baker, S. Kaemmer, Park Systems inc., US |
| Princeton Collaborative Research Facility: diagnostics and modeling for plasma material synthesis and processing applications
Y. Raitses, I. Kaganovich, M. Shneider, A. Dogariu, S. Yatom, S. Gershman, I. Romadanov, N. Chopra, W. Villafana, Y. Ussenov, S. Abe, Princeton Plasma Physics Laboratory, US |
| Wyonics: Advancing Sustainable Innovations in Wyoming
D. Rone, J. O'Hayre, R.D. Rogers, G. Gurau, C.M. Hill, K.R. Di Bona, Wyonics, US |
| Broadband Plasmonic SEIRA Structures for Signal Enhancement in nanoIR Spectroscopy
G. Rutins, L. Tetard, University of Central Florida, US |
| Wednesday June 21 |
|
| 9:00 | Materials Characterization | Chesapeake A |
| Session chair: Alex Norman, Princeton University, US |
| 9:00 | Quantifying Adsorbed Dispersant Layers on Single-Wall Carbon Nanotubes in Simple and Complex Environments
C.M. Sims, J.A. Fagan, National Institute of Standards and Technology, US |
| 9:20 | Infrared CT Scan for Evaluating the Stress Response of Flexible Displays
J. Isbell, Materic, US |
| 9:40 | A versatile direct optical characterization method for morphology changes and swelling kinetics of smart hydrogels
G. Mu, J. Koerner, Leibniz University Hannover, DE |
| 10:00 | MultiModal Domain Intelligent Decision Support
G. Olson, GT Digital Ltd., US |
| 10:20 | Break
|
| 10:30 | RippleGo - First AI-Based Voyage Planner for the Inland Waterways
A.R. Salindong, Trabus Technologies, US |
| 10:50 | Using Physics-Informed Machine Learning to Collect Road Conditions with Connected Vehicles
N. Kargah-Ostadi, Callentis Consulting Group, US |
| 11:10 | Detecting Engine Oil Defects From Images of Vehicle Components
A.K. Devarashetti, L. Forte III, W. Giegerich, Ph.J. Schneider, ACV Auctions, US |
| 11:30 | AI for cell culture monitoring in the closed loop
R. Krampl, A. Trcka, BioX Technologies, SK |
|
Greg Haugstad
