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Journal Articles
- 2022
[j3]Mandek Richardson, Pradipta K. Das, Samuel Morrill, Kamlesh J. Suthar
, Subramanian K. R. S. Sankaranarayanan, Venkat R. Bhethanabotla:
Removal of Non-Specifically Bound Proteins Using Rayleigh Waves Generated on ST-Quartz Substrates. Sensors 22(11): 4096 (2022)- 2019
- [j2]Orcun Yildiz, Jorge Ejarque, Henry Chan, Subramanian Sankaranarayanan, Rosa M. Badia, Tom Peterka:
Heterogeneous Hierarchical Workflow Composition. Comput. Sci. Eng. 21(4): 76-86 (2019) - 2016
- [j1]Rajkumar Mylsamy, Subramanian Sankaranarayanan:
A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET. Wirel. Pers. Commun. 86(3): 1611-1627 (2016)
Conference and Workshop Papers
- 2022
- [c4]Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka:
Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging. AI4S 2022: 1-6 - [c3]Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer:
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. XLOOP@SC 2022: 10-15 - 2020
- [c2]Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan:
Combinatorial Black-Box Optimization with Expert Advice. KDD 2020: 1918-1927 - 2017
- [c1]Matthieu Dreher, Kiran Sasikumar, Subramanian Sankaranarayanan, Tom Peterka:
Manala: A Flexible Flow Control Library for Asynchronous Task Communication. CLUSTER 2017: 509-519
Informal and Other Publications
- 2022
- [i6]Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer:
MLExchange: A web-based platform enabling exchangeable machine learning workflows. CoRR abs/2208.09751 (2022) - [i5]Mingren Shen, Dina Sheyfer, Troy David Loeffler, Subramanian K. R. S. Sankaranarayanan, G. Brian Stephenson, Maria K. Y. Chan, Dane Morgan:
Machine learning for interpreting coherent X-ray speckle patterns. CoRR abs/2211.08194 (2022) - 2021
- [i4]Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara:
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging. CoRR abs/2109.14053 (2021) - 2020
- [i3]Henry Chan, Badri Narayanan, Mathew J. Cherukara, Troy D. Loeffler, Michael G. Sternberg, Anthony Avarca, Subramanian K. R. S. Sankaranarayanan:
BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit. CoRR abs/2002.10401 (2020) - [i2]Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan:
Combinatorial Black-Box Optimization with Expert Advice. CoRR abs/2006.03963 (2020) - [i1]Henry Chan, Youssef S. G. Nashed, Saugat Kandel, Stephan Hruszkewycz, Subramanian Sankaranarayanan, Ross J. Harder, Mathew J. Cherukara:
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning. CoRR abs/2006.09441 (2020)
Coauthor Index
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