Mathew J. Cherukara

According to our database, Mathew J. Cherukara authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing.

Ming Du, Xiangyu Yin, Yanqi Luo, Dishant Beniwal, Songyuan Tang, Hemant Sharma, Mathew J. Cherukara

CoRR, May, 2026

EAA: Automating materials characterization with vision language model agents.

Ming Du, Yanqi Luo, Srutarshi Banerjee, Michael Wojcik, Jelena Popovic, Mathew J. Cherukara

CoRR, February, 2026

2025

Pty-Chi: A PyTorch-based modern ptychographic data analysis package.

Ming Du, Hanna Ruth, Steven Henke, Yi Jiang, Viktor Nikitin, Ashish Tripathi, Junjing Deng, Jeffrey Klug, Peco Myint, Tao Zhou, Nicholas Schwarz, Mathew J. Cherukara, Alec Sandy, Stefan Vogt

CoRR, October, 2025

Fidelity-preserving enhancement of ptychography with foundational text-to-image models.

Ming Du, Volker Rose, Junjing Deng, Dileep Singh, Si Chen, Mathew J. Cherukara

CoRR, September, 2025

DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis.

Aileen Luo, Tao Zhou, Ming Du, Martin V. Holt, Andrej Singer, Mathew J. Cherukara

CoRR, July, 2025

Demonstration of an AI-driven workflow for dynamic x-ray spectroscopy.

Ming Du, Mark Wolfman, Chengjun Sun, Shelly D. Kelly, Mathew J. Cherukara

CoRR, April, 2025

Data for "Deep Learning of Structural Morphology Imaged by Scanning X-ray Diffraction Microscopy".

Aileen Luo, Mathew J. Cherukara, Tao Zhou, Andrej Singer, Martin Holt

Dataset, March, 2025

Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance.

Refik M. Cam, Junjing Deng, Rajkumar Kettimuthu, Mathew J. Cherukara, Tekin Bicer

Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

2024

Automated defect identification in coherent diffraction imaging with smart continual learning.

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

Neural Comput. Appl., December, 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

ptychographic_diffraction_image_sets_20211026.

Tao Zhou, Mathew J. Cherukara, Martin Holt

Dataset, July, 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