High-Performance Ptychographic Reconstruction with Federated Facilities. - Tekin Bicer; Xiaodong Yu 001; Daniel J. Ching; Ryan Chard; Mathew J. Cherukara; Bogdan Nicolae; Rajkumar Kettimuthu; Ian T. Foster (SMC, 2021)

Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data. - Xiaodong Yu 001; Viktor V. Nikitin; Daniel J. Ching; Selin S. Aslan; Doga Gürsoy; Tekin Bicer (CoRR, 2021)

Deep learning at the edge enables real-time streaming ptychographic imaging. - Anakha V. Babu; Tao Zhou; Saugat Kandel; Tekin Bicer; Zhengchun Liu; William Judge; Daniel J. Ching; Yi Jiang; Sinisa Veseli; Steven Henke; Ryan Chard; Yudong Yao; et al. (CoRR, 2022)

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. - Anakha V. Babu; Tekin Bicer; Saugat Kandel; Tao Zhou; Daniel J. Ching; Steven Henke; Sinisa Veseli; Ryan Chard; Antonino Miceli; Mathew Joseph Cherukara (High Performance Computing for Imaging, 2023)

Predicting ptychography probe positions using single-shot phase retrieval neural network. - Ming Du; Tao Zhou; Junjing Deng; Daniel J. Ching; Steven Henke; Mathew J. Cherukara (CoRR, 2024)