Call for Abstracts

Abstract Deadline: Tuesday, June 30, 2020
**All Virtual Poster Sessions will be pre-recorded**   

New this year!  Virtual Poster Session: Students, postdocs, and CNMS users are encouraged to participate in the inaugural CNMS “Virtual Poster Session”. Each participant will have 5 minutes (max) and the use of four slides (max) to present a highlight of their research. Poster sessions presented by graduate and undergraduate students will also be eligible to compete for the Best Student Presentation award given at the CNMS Town Hall. The top 5 poster sessions from students will be selected by the CNMS User Executive Committee; these students will have the chance to present their work in an 8-minute talk between 4:15 – 5:00 pm on Tuesday, August 11 at the virtual CNMS User Meeting (selected students will be notified by July 31).

All participants will be expected to 1) submit an abstract describing their research, 2) pre-record the audio of their presentation, and 3) submit their slide/audio by July 24th. Participants will receive an email with more information by July 7.

Abstracts may be prepared as PDF/MSW files and uploaded using the online abstract submission form. Abstracts must not exceed one page in length including title, author name(s) and affiliation(s), and figures; with one-inch margins and minimum 11-pt font size. (Abstract_Sample)

Track Session descriptions – Select the subject area on the abstract form that best describes your poster research area:

  • Next-Generation Quantum Materials
    State-of-the-art research in quantum materials, from precision synthesis to atomic-scale characterization to novel device applications.
  • Multimodal in situ Methods at the Materials Interface
    Focusing on the development and use of new microscopy and spectroscopy methods including theory, simulation, data processing/analysis to reveal materials dynamics at interfaces.
  • Research at the Bio/Nano Interface
    Understanding and controlling interactions of biological matter and living systems with nanomaterials.
  • Materials for Energy Storage and Conversion
    Advances in materials for energy storage and conversion, with applications including batteries, chemical fuel production, fuel cells, catalysis, and others.
  • Emerging Transdisciplinary Concepts in Practical Machine-Learning
    Applications of machine learning in materials imaging have yet to achieve the justified hype. These underwhelming results are primarily the result of practical challenges of implementation of machine learning in physics. This session will highlight some of the emerging concepts relevant to practical implementations of machine learning in physics.
  • Other

The deadline for abstract submission is June 30. Submitting authors will be notified of acceptance by July 7.

REMINDER: Meeting registration is required – deadline to register is July 22