Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Collaborations and top research areas from the last five years
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Plutonium diversion detection in molten salt reactors via gamma emitter signature
Lee, A. J. H. & Kozlowski, T., Jun 2026, In: Annals of Nuclear Energy. 230, 112149.Research output: Contribution to journal › Article › peer-review
Open Access -
Review of Detecting Anomalies in Power Reactors Using Neutron Noise Analysis
Ardiansyah, H. & Kozlowski, T., Mar 27 2026, (E-pub ahead of print) In: Nuclear Technology.Research output: Contribution to journal › Review article › peer-review
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Data-Driven Insights into AI-Powered Learning: Analyzing Student Interactions with AI-bot in Engineering Education
Alrabah, A., Li, Z., Blumthal, M., Koloutsou-Vakakis, S., Kindratenko, V., Kozlowski, T. & Alawini, A., 2025, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Delayed Heating Calculations Using the MCNP-ORIGEN Activation Automation Tool
Fairhurst-Agosta, R. E. & Kozlowski, T., 2025, In: Nuclear Technology. 211, 1, p. 66-78 13 p.Research output: Contribution to journal › Article › peer-review
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Demonstration of Plutonium Diversion Detection Methodology for Molten Salt Reactors using Gamma Emitting Fission Product Yields
Lee, A. J. H. & Kozlowski, T., 2025, In: Transactions of the American Nuclear Society. 132, 1, p. 408-409 2 p.Research output: Contribution to journal › Conference article › peer-review