Conveners
Machine Learning: I
- David Regnier (CEA)
Machine Learning: II
- Cole Pruitt
- Amber Lauer-Coles (BNL)
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Adrian Sanchez Caballero25/07/2022, 09:30
The data analysis of neutron cross section measurements is a critical step for generating high quality and reliable nuclear databases [1-4] to be used in the fields of nuclear technologies, radioprotection, nuclear medicine or astrophysics, among others. Artificial intelligence techniques, and in particular deep learning, have proven to be a very useful tool for data recognition and analysis....
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Isaac Hobday25/07/2022, 09:54
Quantum computing opens up new possibilities for the simulation of many-body nuclear systems.
As the number of particles in a many-body system increases, the size of the associated Hamiltonian increases exponentially. This presents a challenge when performing calculations on large systems when using classical computing methods. By using a quantum computer, one may be able to overcome this...
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Amber Lauer-Coles25/07/2022, 10:06
The National Nuclear Data Center (NNDC) maintains a repository of physical and theoretical quantities in the Evaluated Nuclear Data Format/B library (ENDF/B), currently on the 8th release (ENDF/B-VIII.0). Many fields rely on the accuracy of these quantities and their uncertainties, from real world applications (such as nuclear power) to more theoretical ones. This work is part of a larger...
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Noah Walton (University of Tennessee)25/07/2022, 10:18
Nuclear data evaluation is a process that takes a long time partly due to resonance identification having to be performed manually by expert nuclear data evaluators. This procedure is laborious, time-consuming, and irreproducible from evaluator to evaluator. Additionally, it is well-documented that a systematic evaluation of the uncertainty on the evaluated cross section is unreliably low....
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Jose I. Robledo25/07/2022, 10:30
Nowadays, in neutron time of flight measurements, there are experimental setups in which many detectors record data during a single experiment. It is usually desirable to be able to sum several spectra in order to increase counting statistics, and therefore decrease uncertainties, for further analysis. A problem arises in time-of-flight experiments when the available spectra are acquired with...
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Vivek Agarwal25/07/2022, 10:42
Over the years, the nuclear fleet has relied on labor-intensive, time-consuming preventive maintenance (PM) programs, driving up operation and maintenance (O&M) costs to achieve high capacity factors. The primary objective of the research presented in this paper is to develop scalable technologies deployable across plant assets and the nuclear fleet in order to achieve risk-informed predictive...
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Denise Neudecker25/07/2022, 11:45
LA-UR-21-29134
It is a well-known fact that our current nuclear data libraries, among them ENDF/B-VIII.0 [1] in the US, are home to compensating errors that lurk in unconstrained physics spaces [2]. Unconstrained physics spaces arise, on the one hand, due to differential information (from theory and experiments) that is too imprecise to fully describe nuclear data. One the other, this is...
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Michael Rising25/07/2022, 12:09
The development of a new fixed-source sensitivity tally capability, targeted toward nuclear data parameters, is currently underway in the MCNP code. In recent research and development efforts that utilize machine learning to both seek problematic nuclear data as well as design experiments optimized to improve the nuclear data, the adjoint-weighted k-eigenvalue sensitivity tally capabilities...
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Kent Parsons (Los Alamos National Laboratory)25/07/2022, 12:21
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Xiaofei Wu25/07/2022, 12:33
The nuclear data are the basic data for reactor burnup calculation. It is significant to study the contribution of their uncertainty to the uncertainty of reactor burnup calculation for improving the safety and economy of reactor. we propagated the uncertainties coming from the nuclear data to the isotopic inventory of sample SF95-4. A Monte Carlo sampling code was developed and used to...
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Ivan Alexander Kodeli
Covariance mmatrices play an important role in nuclear reactor safety, dessign and cost optimisation studies. The availability of covariance matrix data in several recent cross section evaluations, such as ENDF/B-VIII, JEFF-3.3, JENDL-4 etc., has been considerably improved which demonstrates an increased awareness of the importance of these data among the nuclear community. The complete sets...
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Henrik Sjöstrand (Uppsala Universitet)