A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET. - Rajkumar Mylsamy; Subramanian Sankaranarayanan (Wirel. Pers. Commun., 2016)

Manala: A Flexible Flow Control Library for Asynchronous Task Communication. - Matthieu Dreher; Kiran Sasikumar; Subramanian Sankaranarayanan; Tom Peterka (CLUSTER, 2017)

Heterogeneous Hierarchical Workflow Composition. - Orcun Yildiz; Jorge Ejarque; Henry Chan; Subramanian Sankaranarayanan; Rosa M. Badia; Tom Peterka (Comput. Sci. Eng., 2019)

Combinatorial Black-Box Optimization with Expert Advice. - Hamid Dadkhahi; Karthikeyan Shanmugam; Jesus Rios; Payel Das; Samuel C. Hoffman; Troy David Loeffler; Subramanian Sankaranarayanan (KDD, 2020)

BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit. - Henry Chan; Badri Narayanan 003; Mathew J. Cherukara; Troy D. Loeffler; Michael G. Sternberg; Anthony Avarca; Subramanian K. R. S. Sankaranarayanan (CoRR, 2020)

Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning. - Henry Chan; Youssef S. G. Nashed; Saugat Kandel; Stephan Hruszkewycz; Subramanian Sankaranarayanan; Ross J. Harder; Mathew J. Cherukara (CoRR, 2020)

AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging. - Yudong Yao; Henry Chan; Subramanian Sankaranarayanan; Prasanna Balaprakash; Ross J. Harder; Mathew J. Cherukara (CoRR, 2021)

Paper under final revision. - Hai-Tian Zhang; Tae Joon Park; A. N. M. Nafiul Islam; Dat Tran; Sukriti Manna; Qi Wang; Sandip Mondal; Haoming Yu; Suvo Banik; Shaobo Cheng; Hua Zhou; Sampath Gamage; et al. (Zenodo, 2021)

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging. - Orcun Yildiz; Henry Chan; Krishnan Raghavan; William Judge; Mathew J. Cherukara; Prasanna Balaprakash; Subramanian Sankaranarayanan; Tom Peterka (AI4S, 2022)

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. - 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; et al. (XLOOP@SC, 2022)

MLExchange: A web-based platform enabling exchangeable machine learning workflows. - 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; et al. (CoRR, 2022)

Machine learning for interpreting coherent X-ray speckle patterns. - Mingren Shen; Dina Sheyfer; Troy David Loeffler; Subramanian K. R. S. Sankaranarayanan; G. Brian Stephenson; Maria K. Y. Chan; Dane Morgan (CoRR, 2022)

Removal of Non-Specifically Bound Proteins Using Rayleigh Waves Generated on ST-Quartz Substrates. - Mandek Richardson; Pradipta K. Das; Samuel Morrill; Kamlesh J. Suthar; Subramanian K. R. S. Sankaranarayanan; Venkat R. Bhethanabotla (Sensors, 2022)

POPs: Pluck Out the Petals. - Shashikant Verma; Subramanian Sankaranarayanan; Shanmuganathan Raman (SPCOM, 2024)

Automated defect identification in coherent diffraction imaging with smart continual learning. - Orcun Yildiz; Krishnan Raghavan; Henry Chan; Mathew J. Cherukara; Prasanna Balaprakash; Subramanian Sankaranarayanan; Tom Peterka (Neural Comput. Appl., 2024)

COT-AD: Cotton Analysis Dataset. - Akbar Ali; Mahek Vyas; Soumyaratna Debnath; Chanda Grover Kamra; Jaidev Sanjay Khalane; Reuben Shibu Devanesan; Indra Deep Mastan; Subramanian Sankaranarayanan; Pankaj Khanna; Shanmuganathan Raman (CoRR, 2025)