Suhas Somnath

According to our database, Suhas Somnath authored at least 9 papers between 2016 and 2023.

Collaborative distances:

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

2023

Science Use Case Design Patterns for Autonomous Experiments.

Christian Engelmann, Suhas Somnath

Proceedings of the 28th European Conference on Pattern Languages of Programs, 2023

2022

The INTERSECT Open Federated Architecture for the Laboratory of the Future.

Christian Engelmann, Olga A. Kuchar, Swen Boehm, Michael J. Brim, Thomas J. Naughton, Suhas Somnath, Scott Atchley, Jack Lange, Ben Mintz, Elke Arenholz

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

2021

Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery.

Suhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin, Nageswara S. V. Rao, Christopher Brumgard, Feiyi Wang, Olga A. Kuchar, Arjun Shankar, Ben Mintz, Elke Arenholz, J. Robert Michael, Sarp Oral

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

Enabling discovery data science through cross-facility workflows.

Katerina B. Antypas, Deborah Bard, Johannes P. Blaschke, Shane Richard Canon, Bjoern Enders, Mallikarjun Arjun Shankar, Suhas Somnath, Dale Stansberry, Thomas D. Uram, Sean R. Wilkinson

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening.

M. P. Oxley, Junqi Yin, N. Borodinov, Suhas Somnath, Maxim A. Ziatdinov, Andrew R. Lupini, Stephen Jesse, Rama K. Vasudevan, Sergei V. Kalinin

Mach. Learn. Sci. Technol., 2020

DataFed: Towards Reproducible Research via Federated Data Management.

Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar

CoRR, 2020

A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management.

Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar

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

Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences.

Benjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi

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

2016

BEAM: A Computational Workflow System for Managing and Modeling Material Characterization Data in HPC Environments.

Eric J. Lingerfelt, Alex Belianinov, Eirik Endeve, O. Ovchinnikov, Suhas Somnath, Jose M. Borreguero, N. Grodowitz, B. Park, Richard K. Archibald, Christopher T. Symons, Sergei V. Kalinin, O. E. Bronson Messer, Mallikarjun Shankar, Stephen Jesse

Proceedings of the International Conference on Computational Science 2016, 2016