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Suhas Somnath
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2020 – today
- 2023
- [c7]Christian Engelmann
, Suhas Somnath
Science Use Case Design Patterns for Autonomous Experiments. EuroPLoP 2023: 26:1-26:14 - 2022
- [c6]Christian Engelmann
The INTERSECT Open Federated Architecture for the Laboratory of the Future. SMC 2022: 173-190 - 2021
- [c5]Katerina B. Antypas, Deborah Bard, Johannes P. Blaschke
Enabling discovery data science through cross-facility workflows. IEEE BigData 2021: 3671-3680 - [c4]Suhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin
Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery. SMC 2021: 58-75 - 2020
- [j1]M. P. Oxley, Junqi Yin, N. Borodinov, Suhas Somnath, Maxim A. Ziatdinov, Andrew R. Lupini
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening. Mach. Learn. Sci. Technol. 1(4): 04 (2020) - [c3]Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar:
A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management. SMC 2020: 83-98 - [c2]Benjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi:
Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences. SMC 2020: 366-380 - [i1]Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar:
DataFed: Towards Reproducible Research via Federated Data Management. CoRR abs/2004.03710 (2020)
2010 – 2019
- 2016
- [c1]Eric J. Lingerfelt, Alex Belianinov, Eirik Endeve
BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments. ICCS 2016: 2276-2280
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