Pradeep Ramuhalli Group Leader, Modern Nuclear I&C Group, Nuclear Energy and Fuel Cycle Division Contact ramuhallip@ornl.gov | 865.341.0035 All Publications Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins An Assessment of Machine Learning Applied to Ultrasonic Nondestructive Evaluation... A Provably Accurate Randomized Sampling Algorithm for Logistic Regression... 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... Multi-module-based CVAE to predict HVCM faults in the SNS accelerator... Risk-Informed Decision-Making and Reconfiguration using OPRA... Status Report on Regulatory Criteria Applicable to the Use of Artificial Intelligence (AI) and Machine Learning (ML) 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 Digita... 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 Digital Twins for Nuclear Power Plants and Facilities Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review... Uncertainty aware anomaly detection to predict errant beam pulses in the Oak Ridge Spallation Neutron Source accelerator Ultrasonic nondestructive diagnosis of lithium-ion batteries with multiple frequencies... Development of a BWR System Fault Simulator Using TRANSFORM/Modelica... Regulatory Requirements, Guidance, and Review of Digital Twins Laser Doppler vibrometry for piezoelectric coefficient ( d33 ) measurements in irradiated aluminum nitride... How Digital Twins May Be Used in Design and Operations... Pagination Current page 1 Page 2 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 I&C Group Energy Science and Technology Directorate Water Power Program Artificial Intelligence (AI) Initiative
