37 citations · 117 across the 21 of their papers we have counts for
26 papers
Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
Konstantinos Vasili, Zachery T. Dahm, Stylianos Chatzidakis
The nuclear industry is advancing toward more new reactor designs, with next-generation reactors expected to be smaller in scale and power output. These systems have the potential…
Experimental Assessment of a Multi-Class AI/ML Architecture for Real-Time Characterization of Cyber Events in a Live Research Reactor
Zachery Dahm, Konstantinos Vasili, Vasileios Theos +5
There is increased interest in applying Artificial Intelligence and Machine Learning (AI/ML) within the nuclear industry and nuclear engineering community. Effective implementation…
A One-Class Explainable AI Framework for Identification of Non-Stationary Concurrent False Data Injections in Nuclear Reactor Signals
Zachery Dahm, Vasileios Theos, Konstantinos Vasili +3
The transition of next generation advanced nuclear reactor systems from analog to fully digital instrumentation and control will necessitate robust mechanisms to safeguard against…
An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals
Konstantinos Vasili, Zachery T. Dahm, Stylianos Chatzidakis
Next generation advanced nuclear reactors are expected to be smaller both in size and power output, relying extensively on fully digital instrumentation and control systems. These…
Demonstration of Quantum-Secure Communications in a Nuclear Reactor
Konstantinos Gkouliaras, Vasileios Theos, True Miller +6
Quantum key distribution (QKD), one of the latest cryptographic techniques, founded on the laws of quantum mechanics rather than mathematical complexity, promises for the first tim…
TRec: A Muon Trajectory Reconstruction Algorithm for Enhanced Scattering Tomography
Reshma Ughade, Stylianos Chatzidakis
Cosmic ray muons enable non-invasive imaging of dense structures through multipleCoulomb scattering (MCS), with scattering angles dependent on atomic number (Z). Traditional algori…
Methodology For the Evaluation of Critical Components of the Scatterable Radiation Monitor Under Radiation Fields
Matthew Niichel, Stylianos Chatzidakis
One of the persisting challenges associated with the peaceful use of the atom is monitoring the subsequent radiation. For example, nuclear power plants need environmental monitorin…
Open-Source Optimization of Hybrid Monte-Carlo Methods for Fast Response Modeling of NaI(Tl) and HPGe Gamma Detectors
Matthew Niichel, Stylianos Chatzidakis
Modeling the response of gamma detectors has long been a challenge within the nuclear community. Significant research has been conducted to digitally replicate instruments that can…
NuQKD: A Modular Quantum Key Distribution Simulation Framework for Engineering Applications
Konstantinos Gkouliaras, Vasileios Theos, Phil Evans +1
An experimental Quantum Key Distribution (QKD) implementation requires advanced costly hardware, unavailable in most research environments, making protocol testing and performance…
Using Cosmic Ray Muons to Assess Geological Characteristics in the Subsurface
Harish R Gadey, Robert Howard, Stefano C Tognini +5
Cosmic rays are energetic nuclei and elementary particles that originate from stars and intergalactic events. The interaction of these particles with the upper atmosphere produces…
A New Momentum-Integrated Muon Tomography Imaging Algorithm
JungHyun Bae, Rose Montgomery, Stylianos Chatzidakis
For decades, the application of muon tomography to spent nuclear fuel (SNF) cask imaging has been theoretically evaluated and experimentally verified by many research groups around…
Monitoring Spent Nuclear Fuel in a Dry Cask Using Momentum Integrated Muon Scattering Tomography
Junghyun Bae, Stylianos Chatzidakis
Nuclear materials accountability and nonproliferation are among the critical tasks to be addressed for the advancement of nuclear energy in the United States. Monitoring spent nucl…
Development of Compact Muon Spectrometer Using Multiple Pressurized Gas Cherenkov Radiators
Junghyun Bae, Stylianos Chatzidakis
In both particle physics and muon applications, a high-resolution muon momentum measurement capability plays a significant role not only in providing valuable information on the pr…
Non-linear Cherenkov Muon Spectrometer Using Multi-Layer Pressurized C3F8 Gas Radiators
Junghyun Bae, Stylianos Chatzidakis
A new Cherenkov muon spectrometer using diversely sized C3F8 gas radiators and nonlinear threshold muon momentum levels was studied using Geant4 simulations. Despite its compact si…
Fieldable Muon Momentum Measurement using Coupled Pressurized Gaseous Cherenkov Detectors
Junghyun Bae, Stylianos Chatzidakis
Cosmic ray muons present a large part of the radiation background and depending on the application of interest muons can be seen as background noise, e.g., radiation mapping, radia…
Fieldable muon spectrometer using multi-layer pressurized gas Cherenkov radiators and its applications
Junghyun Bae, Stylianos Chatzidakis
Cosmic ray muons have been considered as a non-conventional radiation probe in various applications. To utilize cosmic ray muons in engineering applications, two important quantiti…
A Compact High-Resolution Muon Spectrometer Using Multi-Layer Gas Cherenkov Radiators
Junghyun Bae, Stylianos Chatzidakis
In both particle physics and cosmic ray muon applications, a high-resolution muon momentum measurement capability plays a significant role not only in providing valuable informatio…
A Cosmic Ray Muon Spectrometer Using Pressurized Gaseous Cherenkov Radiators
Junghyun Bae, Stylianos Chatzidakis
In this work, we propose a new approach to cosmic ray muon momentum measurement using multiple pressurized gaseous Cherenkov radiators. Knowledge of cosmic ray muon momentum has th…
A New Semi-Empirical Model for Cosmic Ray Muon Flux Estimation
Junghyun Bae, Stylianos Chatzidakis
Cosmic ray muons have emerged as a non-conventional high-energy radiation probe to monitor dense and large objects. Muons are the most abundant cosmic radiation on Earth, however,…
The Effect of Cosmic Ray Muon Momentum Measurement for Monitoring Shielded Special Nuclear Materials
Junghyun Bae, Stylianos Chatzidakis
Recently, cosmic ray muons have been considered as a potential high energy radiation probe for monitoring and interrogation of dense, well-shielded special nuclear materials (SNM).…
Effective Solid Angle Model and Monte Carlo Method: Improved Estimations to Measure Cosmic Muon Intensity at Sea Level in All Zenith Angles
Junghyun Bae, Stylianos Chatzidakis, Robert Bean
Cosmic muons are highly energetic and penetrative particles and these figures are used for imaging of large and dense objects such as spent nuclear fuels in casks and special nucle…
Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks
Theodore Papamarkou, Hayley Guy, Bryce Kroencke +8
Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical role in the reliability…
Monte Carlo Characterization of the Cosmic Ray Muon Flux in Subsurface Geological Repositories
Harish Gadey, Stylianos Chatzidakis, Abi T. Farsoni
Recent challenges in monitoring subsurface geological repositories call for new, innovative concepts that are facility independent, cost-effective, passive, and reliable. Inspectio…
Muon Tracing and Image Reconstruction Algorithms for Cosmic Ray Muon Computed Tomography
Zhengzhi Liu, Stylianos Chatzidakis, John M. Scaglione +3
Cosmic ray muon computed tomography (μCT) is a new imaging modality with unique characteristics that could be particularly important for diverse applications including nuclear nonp…