Pradeep Ramuhalli Group Leader, Modern Nuclear I&C Group, Nuclear Energy and Fuel Cycle Division Contact 865.341.0035 | ramuhallip@ornl.gov All Publications 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 An Assessment of Machine Learning Applied to Ultrasonic Nondestructive Evaluation A Provably Accurate Randomized Sampling Algorithm for Logistic Regression Second harmonic generation for estimating state of charge of lithium-ion batteries Ultrasonic Nondestructive Diagnosis of Cylindrical Batteries Under Various Charging Rates... 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 Classification of ultrasonic B-scan images from welding defects using a convolutional neural network 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 Non-Nuclear Advanced Controls Testbed... Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Development of Microreactor Automated Control System (MACS): Surrogate Plant-level Modeling and Control Algorithms Integration Early Fault Detection in Particle Accelerator Power Electronics Using Ensemble Learning Digital Twins for Nuclear Power Plants and Facilities Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review 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
