Pradeep Ramuhalli Group Leader, Modern Nuclear I&C Group, Nuclear Energy and Fuel Cycle Division Contact RAMUHALLIP@ORNL.GOV All Publications Assessment of classification results of welding defects on ultrasonic testing signals in a cross-dataset setting Automating Anomaly Detection for Target systems at Spallation Neutron Source... Microreactor Automated Control System Test Bed Digital Architecture for Real-Time, Hardware-in-the-Loop Simulation Data Efficiency Assessment of Generative Adversarial Networks in Energy Applications First-of-a-kind Risk-informed Digital twin for Operational Decision Making Evaluation of AI-based Methods for Time-Series Modeling of Measurement Data of a Complex Cryogenic System Microreactor Simulation Performance Analysis for Real-Time Hardware-in-the-Loop Testbed... Dynamic systems modeling of the spallation neutron source cryogenic moderator system to optimize transient control and prepare for power upgrades An Update on Microreactor Automated Control System (MACS) Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins A machine learning approach for particle accelerator errant beam prediction using spatial phase deviation A Provably Accurate Randomized Sampling Algorithm for Logistic Regression An Assessment of Machine Learning Applied to Ultrasonic Nondestructive Evaluation Ultrasonic Nondestructive Diagnosis of Cylindrical Batteries Under Various Charging Rates... Second harmonic generation for estimating state of charge of lithium-ion batteries Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning Data-Driven Modeling of a High Capacity Cryogenic System for Control Optimization Predictive Analytics for Hydropower Fleet Intelligence Status Report on Regulatory Criteria Applicable to the Use of Artificial Intelligence (AI) and Machine Learning (ML) Multi-module-based CVAE to predict HVCM faults in the SNS accelerator Risk-Informed Decision-Making and Reconfiguration using OPRA Technical Specification Surveillance Interval Extension Using Self-Diagnostics A Risk-Informed Assessment of Operational Options for Successfully Avoiding a Trip Setpoint Technical Challenges and Gaps in Integration of Advanced Sensors, Instrumentation, and Communication Technologies with Digital Twins for Nuclear Application Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links ORCID Organizations Fusion and Fission Energy and Science Directorate Nuclear Energy and Fuel Cycle Division Advanced Reactor Engineering and Development Section Modern Nuclear Instrumentation and Controls Group Energy Science and Technology Directorate Water Power Program Artificial Intelligence (AI) Initiative
