Nageswara Rao Corporate Fellow Contact RAONS@ORNL.GOV All Publications Science Federation Emulation Testbed: Demonstration of VFSIE Functionalities Game-Theoretic Approach for Grace-Period Policy in Supercomputers Reconfigurable Quantum Local Area Network Over Deployed Fiber Virtual Framework for Development and Testing of Federation Software Stack Tracking Material Transfers at a Nuclear Facility with Physics-Informed Machine Learning and Data Fusion Generalization Equations for Machine Learners Based on Physical and Abstract Laws Isotope Ratio Features for Classification of Dissolution Events Using Effluents Measurements Exploratory analysis and performance prediction of big data transfer in High-performance Networks Virtual Framework for Science Federations with Instruments Access and Control Estimation of Sensor Measurement Errors in Reactor Coolant Systems Using Multi-Sensor Fusion Co-Design of Streaming Workflows to Drive Experiments-in-the-Loop Software Framework for Federated Science Instruments External Temperature Effects on Thermal Features of Reactor Coolants System and Power Level Estimation... Detecting Low-level Radiation Sources Using Border Monitoring Gamma Sensors Softwarized Federations of Science Instruments with Edge-Continuum Containers Reactor Power Level Estimation by Fusing Multi-Modal Sensor Measurements Continuous Test and Transition Infrastructure for Quantum Networking for Science Complex Automated Vehicle Detection in a Nuclear Facility Using Low-Frequency Acoustic Sensors AI-Science for Performance Optimization and Diagnosis of Science Instrument Federations Classification of Dissolution Events Using Fusion of Effluents Measurements and Classifiers On Performance Prediction of Big Data Transfer in High-performance Networks Characterization and identification of HPC applications at leadership computing facility Performance Prediction of Big Data Transfer Through Experimental Analysis and Machine Learning Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses Pagination First page « First Previous page ‹â¶Ä¹ … Page 2 Current page 3 Page 4 … Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Engineered Systems Section Autonomous and Complex Systems Group
