Contact

  • Academic
    uslu@stanford.edu
    University - Student Department: Applied Physics Position: Graduate

Additional Info

All Publications

  • MaskTerial: a foundation model for automated 2D material flake detection DIGITAL DISCOVERY Uslu, J., Nekrasov, A., Hermans, A., Beschoten, B., Leibe, B., Waldecker, L., Stampfer, C. 2025

    Abstract

    The detection and classification of exfoliated two-dimensional (2D) material flakes from optical microscope images can be automated using computer vision algorithms. This has the potential to increase the accuracy and objectivity of classification and the efficiency of sample fabrication, and it allows for large-scale data collection. Existing algorithms often exhibit challenges in identifying low-contrast materials and typically require large amounts of training data. Here, we present a deep learning model, called MaskTerial, that uses an instance segmentation network to reliably identify 2D material flakes. The model is extensively pre-trained using a synthetic data generator that generates realistic microscopy images from unlabeled data. This results in a model that can quickly adapt to new materials with as little as 5 to 10 images. Furthermore, an uncertainty estimation model is used to finally classify the predictions based on optical contrast. We evaluate our method on eight different datasets comprising five different 2D materials and demonstrate significant improvements over existing techniques in the detection of low-contrast materials such as hexagonal boron nitride.

    View details for DOI 10.1039/d5dd00156k

    View details for Web of Science ID 001609952800001

    View details for PubMedID 41220578

    View details for PubMedCentralID PMC12598537

  • Quantitative determination of twist angle and strain in Van der Waals moirĂ© superlattices APPLIED PHYSICS LETTERS Tran, S. J., Uslu, J., Pendharkar, M., Finney, J., Sharpe, A. L., Hocking, M., Bittner, N. J., Watanabe, K., Taniguchi, T., Kastner, M. A., Mannix, A. J., Goldhaber-Gordon, D. 2024; 125 (11)

    View details for DOI 10.1063/5.0223777

    View details for Web of Science ID 001313187100002

  • An open-source robust machine learning platform for real-time detection and classification of 2D material flakes MACHINE LEARNING-SCIENCE AND TECHNOLOGY Uslu, J., Ouaj, T., Tebbe, D., Nekrasov, A., Bertram, J., Schuette, M., Watanabe, K., Taniguchi, T., Beschoten, B., Waldecker, L., Stampfer, C. 2024; 5 (1)

    View details for DOI 10.1088/2632-2153/ad2287

    View details for Web of Science ID 001160837500001

https://orcid.org/0009-0009-1069-5778