Data Science and Systems Integration

Publications

• Chandima Fernando, Daniel Olds, Stuart I. Campbell, Phillip M. Maffettone Facile Integration of Robots into Experimental Orchestration at Scientific User Facilities, 2024 IEEE International Conference on Robotics and Automation (ICRA), Vol 3, p. 9578-9584 (2024). 10.1109/ICRA57147.2024.10611706
• Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion A. Cohen, Rebecca L. Davis, Ian T. Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun What is missing in autonomous discovery: open challenges for the community. Digital Discovery 2 (6), 1644-1659 (2023). 10.1039/D3DD00143A
• Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel, Stuart I. Campbell, Andi M. Barbour, Daniel Olds Machine learning enabling high-throughput and remote operations at large-scale user facilities. Digital Discovery1 (4), 413-426 (2022). 10.1039/D2DD00014H
• Maksim Rakitin, Stuart Campbell, Daniel Allan, Thomas Caswell, Dmitri Gavrilov, Marcus Hanwell, Stuart Wilkins Next generation experimental data access at NSLS-II. J Phys.: Conf. Ser.2380 (1), 012100 (2022). 10.1088/1742-6596/2380/1/012100
• Phillip M. Maffettone, Stuart Campbell, Marcus D. Hanwell, Stuart Wilkins, Daniel Olds Delivering real-time multi-modal materials analysis with enterprise beamlines. Cell Reports Physical Science3 (11), ID(101112) (2022). 10.1016/j.xcrp.2022.101112
• Daniel B Allan, Daniel Olds, Reid Smith, Stuart B Wilkins, Stuart I Campbell, Andi M Barbour, Maksim S Rakitin Outlook for artificial intelligence and machine learning at the NSLS-II. Learn.: Sci. Technol.2 (1), 013001 (2021). 10.1088/2632-2153/abbd4e
• Phillip M Maffettone, Joshua K Lynch, Thomas A Caswell, Clara E Cook, Stuart I Campbell, Daniel Olds Gaming the beamlines—employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Learn.: Sci. Technol.2 (2), 025025 (2021). 10.1088/2632-2153/abc9fc
• Daniel Olds, Daniel B. Allan, Thomas A. Caswell, Joshua Lynch, Phillip M. Maffettone, Stuart I. Campbell Optimizing High- Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite, 2021 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP) (2021). 10.1109/XLOOP54565.2021.0001
• Yu-Chen Karen Chen-Wiegart, Stuart I. Campbell, Kevin G. Yager, Yijin Liu, Anatoly I. Frenkel, Lin Yang, Jianming Bai, Matt McCormick, Daniel Allan, Mark Basham , Multi-Modal Synchrotron Characterization: Modern Techniques and Data Analysis, p. 39-64, World Scientific (2020). 10.1142/9789811204579_0003
• Sergei V Kalinin, Ian Foster, Surya Kalidindi, Sergei V Kalinin, Turab Lookman, Kerstin Kleese van Dam, Kevin G Yager, Stuart I Campbell, Richard Farnsworth, Maartje van Dam , Handbook on Big Data and Machine Learning in the Physical Sciences, World Scientific (2020). 10.1142/11389-vol2
• Chonghang Zhao, Cheng-Chu Chung, Siying Jiang, Marcus M. Noack, Jiun-Han Chen, Kedar Manandhar, Joshua Lynch, Hui Zhong, Wei Zhu, Phillip Maffettone, Daniel Olds, Masafumi Fukuto, Ichiro Takeuchi, Sanjit Ghose, Thomas Caswell, Kevin G. Yager, Yu-chen Karen Chen-Wiegart Machine-learning for designing nanoarchitectured materials by dealloying. Commun Mater 3 (1), ID(86) (2022). 10.1038/s43246-022-00303-w
• Maksim S. Rakitin, Abigail Giles, Kaleb Swartz, Joshua Lynch, Paul Moeller, Robert Nagler, Daniel Allan, Thomas Caswell, Lutz Wiegart, Oleg Chubar, Yonghua Du Introduction of the Sirepo-Bluesky interface and its application to the optimization problems, Advances in Computational Methods for X-Ray Optics V (2020). 10.1117/12.2569000
• M. Cook , E. Carlin, J. Einstein-Curtis, P. Moeller, R. Nagler, R. O'Rourke, A. Barbour, M. Rakitin, L. Wiegart, H. Wijesinghe Integrating Online Analysis with Experiments to Improve X-Ray Light Source Operations, 19th International Conference on Accelerator and Large Experimental Physics Control Systems , p. 921-924 (2024). 10.18429/JACoW-ICALEPCS2023-TUSDSC02
• Paul Moeller, Boaz Nash, Antoine Islegen-Wojdyla, Thomas W. Morris, Max Rakitin, Yonghua Du, Mikhail Fedurin, Abigail C. Giles, Denis Leshchev, William H. Li, Brianna Romasky, Eli Stavitski, Andrew L. Walter A general Bayesian algorithm for the autonomous alignment of beamlines. Synch. Rad.31 (6), 1446-1456 (2024). 10.1107/S1600577524008993
• Thomas Morris, Maksim Rakitin, Abigail Giles, Joshua Lynch, Andrew L. Walter, Boaz Nash, Dan Abell, Paul Moeller, Ilya Pogorelov, Nicholas Goldring On-the-fly optimization of synchrotron beamlines using machine learning, Optical System Alignment, Tolerancing, and Verification XIV, Vol 10701, p. 107011J-1 -107011J-10 (2023). 10.1117/12.2644996
• Max Rakitin, Riley Bode, Thomas W. Morris, Abigail C. Giles, Andrew L. Walter, Joshua K. Lynch, Jennefer Maldonado, Yonghua Du, Brianna Romasky, Mikhail Fedurin, Paul Moeller, Boaz Nash Recent updates of the Sirepo-Bluesky library for virtual beamline representation, Advances in Computational Methods for X-Ray Optics VI (2023). 10.1117/12.2678030
• Nash, D.T. Abell, R. Nagler, P. Moeller, M. Keilman, I. Pogorelov, N. Goldring, M. Rakitin, J. Lynch, A. Giles, A. Walter, J. Maldonado, T. Morris, S. Bak, Y. Du Combining diagnostics, modeling, and control systems for automated alignment of the TES beamline. J Phys.: Conf. Ser.2380 (1), 012103 (2022). 10.1088/1742-6596/2380/1/012103
• Himanshu Goel, Oleg Chubar, Lutz Wiegart, Andrei Fluerasu, Ruizi Li, An He, Maksim Rakitin, Paul Moeller, Robert Nagler Developments in SRW Code and Sirepo Framework Supporting Simulation of Time-Dependent Coherent X-ray Scattering Experiments. J Phys.: Conf. Ser.2380 (1), 012126 (2022). 10.1088/1742-6596/2380/1/012126
• Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin, Anthony M. DeGennaro, Andi M. Barbour Noise reduction in X-ray photon correlation spectroscopy with convolutional neural networks encoder–decoder models. Sci Rep11 (1), ID(14756) (2021). 10.1038/s41598-021-93747-y