Mathew J. Cherukara
According to our database1,
Mathew J. Cherukara
authored at least 14 papers
between 2018 and 2024.
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Bibliography
2024
Automated defect identification in coherent diffraction imaging with smart continual learning.
Neural Comput. Appl., December, 2024
Predicting ptychography probe positions using single-shot phase retrieval neural network.
CoRR, 2024
2023
Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities.
CoRR, 2023
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.
Proceedings of the High Performance Computing for Imaging 2023, 2023
2022
CoRR, 2022
Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.
Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022
2021
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging.
CoRR, 2021
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
2020
High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming.
CoRR, 2020
CoRR, 2020
2018