Ashley S. Dale

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Hello World!

I am a condensed matter physicist researching magnetic materials. I also research explainable and trustworthy AI, and computer vision.

My work has applications in spintronics, black-box model exploration, Monte-Carlo simulation, data domain gap analysis, and physics education.

selected publications

  1. Mind the (domain) gap: metrics for the differences in synthetic and real data distributions
    Ashley S Dale, William R Reindl, Edwin Sanchez, and 2 more authors
    In Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, 2024
  2. Direct Adversarial Latent Estimation to Evaluate Decision Boundary Complexity in Black Box Models
    Ashley S. Dale, and Lauren Christopher
    2024
  3. All patched up: effective integration of real and synthetic features into a single image for object detection
    Ashley S. Dale, Lauren Christopher, William Reindl, and 5 more authors
    In 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2023
  4. Direct observation of the magnetic anisotropy of an Fe (II) spin crossover molecular thin film
    Ashley S. Dale, Saeed Yazdani, Thilini K Ekanayaka, and 6 more authors
    Journal of Physics: Materials, 2023
  5. Quantitative study of the energy changes in voltage-controlled spin crossover molecular thin films
    Aaron Mosey, Ashley S. Dale, Guanhua Hao, and 3 more authors
    The Journal of Physical Chemistry Letters, 2020
  6. Intermolecular interaction and cooperativity in an Fe (II) spin crossover molecular thin film system
    Ashley S. Dale, Guanhua Hao, Rajesh V Chopdekar, and 8 more authors
    Journal of Physics: Condensed Matter, 2022
  7. CNN-based network has Network Anisotropy-work harder to learn rotated feature than non-rotated feature
    Ashley S. Dale, Mei Qiu, Lauren Christopher, and 2 more authors
    In 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2022