- Bias-dependent Displacement Damage Effects in a Silicon Avalanche Photodiode - Citation: R.M. Zedric, S.S. Chirayath, C.M. Marianno, Y. Diawara, N. Skukan, “Bias-dependent Displacement Damage Effects in a Silicon Avalanche Photodiode”, Nuclear Instruments and Methods in Physics Research, Section B. 507 (2021). Abstract: Radiation effects studies on a commercial beveled-edge avalanche photodiode (APD) showed that applying reverse bias to the device during irradiation enhanced the severity […]
- A Review of Human Reliability Programs for Nuclear Security - Citation: M. Sai Baba I. Chowdhury, V. Nidhi, A.K. Shah, S.S. Chirayath, “A Review of Human Reliability Programs for Nuclear Security”, Journal of Nuclear Materials Management, 49, 4 (2022). Abstract: Human Reliability Program (HRP) is a set of procedures, protocols, and the corresponding performance of activities to support and sustain the secure and safe operation […]
- Design and Analysis of an Internal Remote Monitoring System for Spent Nuclear Fuel stored in a Dry Cask - Citation: A.A. Sagadevan S.S. Chirayath, “Design and Analysis of an Internal Remote Monitoring System for Spent Nuclear Fuel stored in a Dry Cask”, Nuclear Technology, 208, 3 (2022). Abstract: Until a long-term solution is finalized, interim storage of sufficiently cooled spent nuclear fuel (SNF) assemblies in dry casks is the predominant practice. Since these dry […]
- Antineutrino detection for temporal monitoring of fuel burnup in a large nuclear reactor - Citation: W.E. Ang, S. Prasad, and S.S. Chirayath, “Antineutrino detection for temporal monitoring of fuel burnup in a large nuclear reactor”, Nuclear Instrumentation and Methods in Physics Research A, 1028 (2022). Abstract: The objective of this work is to determine if coherent-elastic-neutrino-nucleus scatter (CENS) in natural germanium detectors can be used to detect antineutrinos from […]
- Characterization of Plutonium for Nuclear Forensics Using Machine Learning Techniques - Citation: E.D. Kitcher, J.M. Osbourn, S.S. Chirayath, “Characterization of Plutonium for Nuclear Forensics Using Machine Learning Techniques”, Annals of Nuclear Energy, 170 (2022). Abstract: Traditional nuclear forensics methods aim to ascertain key pieces of information regarding material provenance using material characteristics. In 2018, a novel nuclear forensics methodology for source discrimination of separated plutonium was […]