Ryan Meyer Nuclear Engineer Contact MEYERRM@ORNL.GOV All Publications Non-destructive evaluation and machine learning methods for inspection of spent nuclear fuel canisters: A state-of-the-art review Acoustic sensing and autoencoder approach for abnormal gas detection in a spent nuclear fuel canister mock-up Non-invasive Ultrasonic Sensing of Internal Conditions on a Partial Full-Scale Spent Nuclear Fuel Canister Mock-Up Impurity Gas Detection in SNF Canisters Using Deep Learning-Aided Acoustic Sensing Optimizing transmission of acoustic signals to monitor internal conditions of canisters for dry storage of commercial spent nuclear fuel An Assessment of Machine Learning Applied to Ultrasonic Nondestructive Evaluation Impurity gas monitoring using ultrasonic sensing and neural networks: forward and inverse problems 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
