Publications

Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoising
Crozier, P. A., et al. (2025). Science, 387(6635), pp. 949-954.
https://doi.org/10.1126/science.ads2688

Exploring blob detection to determine atomic column positions and intensities in time-resolved TEM images with ultra-low signal-to-noise
Manzorro, R., et al. (2022). Microscopy and Microanalysis, 28, 6(1), pp. 1917-30.
https://doi.org/10.1017/S1431927622000356

Deep denoising for scientific discovery: a case study in electron microscopy
Mohan, S., et al. (2022). IEEE Transactions on Computational Imaging, 8, pp. 585-597.
https://doi.org/10.1109/TCI.2022.3176536

Modeling surface spin polarization on ceria-supported Pt nanoparticles
Kang, B., et al. (2022). J. Phys.: Condens. Matter, 34(255002).
https://doi.org/10.1088/1361-648X/ac62a3

Adaptive denoising via gaintuning
Mohan, S., et al. (2021). Advances in Neural Information Processing Systems, 34, 23924-23936.
https://dl.acm.org/doi/10.5555/3540261.3542078

Atomic-level fluxional behavior and activity of CeO2-supported Pt catalysts for CO oxidation
Vincent, J. L., et al. (2021). Nature Communications, 12(1), 5789.
https://doi.org/10.1038/s41467-021-26047-8

Developing and evaluating deep neural network-based denoising for nanoparticle TEM images with ultra-low signal-to-noise
Vincent, J. L., et al. (2021). Microscopy and Microanalysis, 27, 6(1), pp. 1431-1447.
https://doi.org/10.1017/S1431927621012678

Dynamic structure of active sites in ceria-supported Pt catalysts for the water gas shift reaction
Li, Y., et al. (2021). Nature Communications, 12(1), 914.
https://doi.org/10.1038/s41467-021-21132-4

Unsupervised deep video denoising
Sheth, D. Y., et al. (2021). International Conference on Computer Vision (ICCV), pp. 1739-1748.
https://doi.org/10.1109/ICCV48922.2021.00178

Chemical kinetics for operando electron microscopy of catalysts: 3D modeling of gas and temperature distributions during catalytic reactions
Vincent, J. L., (2020). Ultramicroscopy, 218, 113080.
https://doi.org/10.1016/j.ultramic.2020.113080