Garrett E. Granroth

According to our database, Garrett E. Granroth authored at least 6 papers between 2014 and 2022.

Collaborative distances:

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

2022

drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory.

William T. Heller, John Hetrick, Jean Bilheux, Jose M. Borreguero Calvo, Wei-Ren Chen, Lisa DeBeer-Schmitt, Changwoo Do, Mathieu Doucet, Michael R. Fitzsimmons, William F. Godoy, Garrett E. Granroth, Steven Hahn, Lilin He, Fahima Islam, Jiao Lin, Kenneth C. Littrell, Marshall T. McDonnell, Jesse McGaha, Peter F. Peterson, Sai Venkatesh Pingali, Shuo Qian, Andrei T. Savici, Yingrui Shang, Christopher B. Stanley, Volker S. Urban, Ross E. Whitfield, Chen Zhang, Wenduo Zhou, Jay Jay Billings, Matthew J. Cuneo, Ricardo M. Ferraz Leal, Tianhao Wang, Bin Wu

SoftwareX, 2022

Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data.

Gregory R. Watson, Gregory Cage, Jon Fortney, Garrett E. Granroth, Harry Hughes, Thomas Maier, Marshall T. McDonnell, Anibal Ramirez-Cuesta, Robert Smith, Sergey Yakubov, Wenduo Zhou

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

2021

Machine learning for neutron scattering at ORNL.

Mathieu Doucet, Anjana M. Samarakoon, Changwoo Do, William T. Heller, Richard Archibald, D. Alan Tennant, Thomas Proffen, Garrett E. Granroth

Mach. Learn. Sci. Technol., 2021

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.

Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

2020

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics.

Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2014

Accelerating Data Acquisition, Reduction, and Analysis at the Spallation Neutron Source.

Galen M. Shipman, Stuart I. Campbell, David Dillow, Mathieu Doucet, Jim Kohl, Garrett E. Granroth, Ross G. Miller, Dale Stansberry, Thomas Proffen, Russel Taylor

Proceedings of the 10th IEEE International Conference on e-Science, 2014