JUNE 17-19, 2024
WASHINGTON, DC    


Materials Characterization & Imaging

Nanoscale Materials Characterization

Submit Poster Abstract - due May 3 »

Please first review the information for authors — abstract submission guidelines.

Symposium Co-Chairs

Greg HaugstadGreg Haugstad
Technical Staff Member & Director, Characterization Facility (CharFac)
University of Minnesota

Dalia YablonDalia Yablon
Technical Program Chair
TechConnect World Innovation Conference

Alex NormanAlex Norman
Executive Director
Princeton Institute of Materials


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.

 
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2024 Symposium Sessions

Monday June 17

4:00Material Characterization & Imaging - Posters

2024 Symposium Program

Monday June 17

4:00Material Characterization & Imaging - PostersExpo Hall BC
Reactive accelerated aging as a novel in vitro method for degradation studies of polymer materials
A. Schadenhofer, J. Körner, Leibniz University Hannover, DE
Application of Convolutional Neural Networks (CNNs) for Real-Time Medical Imaging
S. Kalaga, Arch System, LLC, US
Analytical techniques for soft-solid characterization
G.J.C. Braithwaite, J. White, Cambridge Polymer Group, Inc., US
Towards causal understanding of phenotypes and developmental anomalies
W. Tao, C. Keller, M. Hurtt, G. Srinivasa, R. Whitaker, M. Langham, University of Utah, US
Perforin-2 clockwise hand-over-hand pre-pore to pore transition mechanism
F. Jiao, F. Dehez, T. Ni, X. Yu, J. Dittman, R. Gilbert, C. Chipot, S. Scheuring, Institute of Physics, Chinese Academy of Sciences, CN
Topics & Application Areas
  • User facilities for industrial participation
  • Advances in image analysis
  • Characterization of real-world systems
  • Machine learning for Characterization
  • Other
 

Sponsor & Exhibitor Opportunities
 

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SPONSORS & PARTNERS
Sponsors & Partners
 
SBIR/STTR AGENCY PARTNERS
SBIR/STTR Agency Partners