Hongbin Sun R&D Associate Staff Contact sunh1@ornl.gov | 865.341.1619 All Publications Assessment of Machine Learning for Ultrasonic Nondestructive Evaluation of Alkali–Silica Reaction in Concrete... 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 Nonlinear Impact-Echo Test for Quantitative Evaluation of ASR Damage in Concrete Ultrasonic Assessment of Neutron Irradiated Concrete-Forming Aggregates Classification of ultrasonic B-scan images from welding defects using a convolutional neural network... Machine Learning for Processing Ultrasonic Data from Long-Term Monitoring of Concrete with Alkali-Silica Reaction (ASR) Energy Efficiency Improvement Approaches in Ice Related Processes Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review... Laser Doppler vibrometry for piezoelectric coefficient ( d33 ) measurements in irradiated aluminum nitride... Ultrasonic nondestructive diagnosis of lithium-ion batteries with multiple frequencies... Ultra-high gamma irradiation of calcium silicate hydrates: Impact on mechanical properties, nanostructure, and atomic environ... Machine learning of ultrasonic data for expansion prediction of concrete with alkali-silica reaction... Nondestructive Damage Detection of Concrete With Alkali-Silica Reactions Using Coda Wave and Anomaly Detection... DEVELOPMENT OF ULTRASONIC DENSIMETER AND VISCOMETER FOR FLUID CHARACTERIZATION... Electromechanical response of piezoelectric thin films subjected to large strain... Key Links ORCID Google Scholar 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
