Mathew J. Cherukara

According to our database, Mathew J. Cherukara authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Homomorphic data compression for real time photon correlation analysis.

Sebastian Strempfer, Zichao Wendy Di, Kazutomo Yoshii, Yue Cao, Qingteng Zhang, Eric M. Dufresne, Mathew J. Cherukara, Suresh Narayanan, Martin V. Holt, Antonino Miceli, Tao Zhou

CoRR, 2024

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

2023

Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities.

Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara

CoRR, 2023

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

Proceedings of the High Performance Computing for Imaging 2023, 2023

2022

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, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara

CoRR, 2022

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.

Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka

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.

Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara

CoRR, 2021

High-Performance Ptychographic Reconstruction with Federated Facilities.

Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster

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.

Tao Zhou, Mathew J. Cherukara, Charudatta Phatak

CoRR, 2020

Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning.

Henry Chan, Youssef S. G. Nashed, Saugat Kandel, Stephan Hruszkewycz, Subramanian Sankaranarayanan, Ross J. Harder, Mathew J. Cherukara

CoRR, 2020

Real-time sparse-sampled Ptychographic imaging through deep neural networks.

Mathew J. Cherukara, Tao Zhou, Youssef S. G. Nashed, Pablo Enfedaque, Alex Hexemer, Ross J. Harder, Martin V. Holt

CoRR, 2020

BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit.

Henry Chan, Badri Narayanan, Mathew J. Cherukara, Troy D. Loeffler, Michael G. Sternberg, Anthony Avarca, Subramanian K. R. S. Sankaranarayanan

CoRR, 2020

2018

Real-time coherent diffraction inversion using deep generative networks.

Mathew J. Cherukara, Youssef S. G. Nashed, Ross J. Harder

CoRR, 2018