Attention is not all you need: Comparing the performance of transformers and CNNs in classifying space groups from powder diffraction data

Oral-In-person

Abstract

There has been a great deal of work in accelerating the determination of space group from powder diffraction data. In this work, I discuss our detailed study on the performance of CNNs and Transformers. In particular, I discuss the role of extinction groups, architecture, instrument resolution, and other effects. Our performance is state-of-the-art on synthetic data. I will also discuss our performance on actual diffraction data.

Presenters

  • William Ratcliff

    • National Institute of Standards and Technology (NIST)

Authors

  • William Ratcliff

    • National Institute of Standards and Technology (NIST)
  • Elizabeth Baggett

    • Boston College
  • Edward Friedmann

  • Vanellsa Acha

  • Derrick Chan-Sew

  • Abhishek Shetty