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Our Future Nuclear Data Needs

Annual review of nuclear and particle science, 2019-10, Vol.69 (1), p.109-136

2019

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γ -ray strength function for astrophysical applications in the IAEA-CRP

EPJ Web of Conferences, 2020, Vol.239, p.7005

2020

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Impact of Nuclear Data Uncertainty in the Modeling of Neutron-Induced Recoil Atom Energy Distributions in Silicon

IEEE transactions on nuclear science, 2019-07, Vol.66 (7), p.1719-1729

2019

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The options for the future production of the medical isotope 99Mo

European journal of nuclear medicine and molecular imaging, 2010-10, Vol.37 (10), p.1817-1820

2010

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Assessment of nuclear-reaction codes for proton-induced reactions on light nuclei below 250 MeV

European physical journal plus, 2015-07, Vol.130 (7), p.153, Article 153

2015

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Exploratory Data Analysis of the EXFOR Database

Journal of the Korean Physical Society, 2011, 59(23), , pp.1333-1336

2011

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Radiative neutron capture: Hauser Feshbach vs. statistical resonances

Physics letters. B, 2017-01, Vol.764 (C), p.109-113

2017

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Iterative Bayesian Monte Carlo for nuclear data evaluation

Nuclear science and techniques, 2022-04, Vol.33 (4), p.105-135, Article 50

2022

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Measurement and modeling of proton-induced reactions on arsenic from 35 to 200 MeV

Physical review. C, 2021-12, Vol.104 (6), Article 064615

2021

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Investigating high-energy proton-induced reactions on spherical nuclei: Implications for the preequilibrium exciton model

Physical review. C, 2021-03, Vol.103 (3), Article 034601

2021

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A Statistical Analysis of Evaluated Neutron Resonances with TARES for JEFF-3.3, JENDL-4.0, ENDF/B-VIII.0 and TENDL-2019

Nuclear data sheets, 2020-01, Vol.163, p.163-190

2020

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A Bayesian Monte Carlo method for fission yield covariance information

Annals of nuclear energy, 2016-09, Vol.95, p.125-134

2016

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γ -ray strength function for barium isotopes

Physical review. C, 2019-09, Vol.100 (3), Article 034605

2019

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Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances

Progress in nuclear energy (New series), 2017-04, Vol.96, p.76-96

2017

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Nuclear data uncertainty for criticality-safety: Monte Carlo vs. linear perturbation

Annals of nuclear energy, 2016-06, Vol.92, p.150-160

2016

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γ-ray strength function for thallium isotopes relevant to the 205Pb−205Tl chronometry

Physical review. C, 2019

2019

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Re-evaluation of the thermal neutron capture cross section of Nd-147

Annals of nuclear energy, 2016-08, Vol.94, p.612

2016

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Sampling of systematic errors to estimate likelihood weights in nuclear data uncertainty propagation

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2016-01, Vol.807, p.137-149

2016

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The TENDL library: Hope, reality and future

EPJ Web of Conferences, 2017, Vol.146, p.2006

2017

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In search of the best nuclear data file for proton induced reactions: Varying both models and their parameters

EPJ Web of Conferences, 2020, Vol.239, p.13005

2020

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Selecting benchmarks for reactor simulations: An application to a lead fast reactor

Annals of nuclear energy, 2016-10, Vol.96, p.158-169

2016

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Uncertainty and correlation analysis of lead nuclear data on reactor parameters for the European Lead Cooled Training Reactor

Annals of nuclear energy, 2015-01, Vol.75, p.26-37

2015

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On the use of integral experiments for uncertainty reduction of reactor macroscopic parameters within the TMC methodology

Progress in nuclear energy (New series), 2016-04, Vol.88, p.43-52

2016

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Propagation of Nuclear Data Uncertainties for ELECTRA Burn-up Calculations

Nuclear data sheets, 2014-04, Vol.118, p.527-530

2014

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Benchmark selection methodology for reactor calculations and nuclear data uncertainty reduction

Annals of nuclear energy, 2015

2015

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Our Future Nuclear Data Needs

γ -ray strength function for astrophysical applications in the IAEA-CRP

Impact of Nuclear Data Uncertainty in the Modeling of Neutron-Induced Recoil Atom Energy Distributions in Silicon

The options for the future production of the medical isotope 99Mo

Assessment of nuclear-reaction codes for proton-induced reactions on light nuclei below 250 MeV

Exploratory Data Analysis of the EXFOR Database

Radiative neutron capture: Hauser Feshbach vs. statistical resonances

Iterative Bayesian Monte Carlo for nuclear data evaluation

Measurement and modeling of proton-induced reactions on arsenic from 35 to 200 MeV

Investigating high-energy proton-induced reactions on spherical nuclei: Implications for the preequilibrium exciton model

A Statistical Analysis of Evaluated Neutron Resonances with TARES for JEFF-3.3, JENDL-4.0, ENDF/B-VIII.0 and TENDL-2019

A Bayesian Monte Carlo method for fission yield covariance information

γ -ray strength function for barium isotopes

Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances

Nuclear data uncertainty for criticality-safety: Monte Carlo vs. linear perturbation

γ-ray strength function for thallium isotopes relevant to the 205Pb−205Tl chronometry

Re-evaluation of the thermal neutron capture cross section of Nd-147

Sampling of systematic errors to estimate likelihood weights in nuclear data uncertainty propagation

The TENDL library: Hope, reality and future

In search of the best nuclear data file for proton induced reactions: Varying both models and their parameters

Selecting benchmarks for reactor simulations: An application to a lead fast reactor

Uncertainty and correlation analysis of lead nuclear data on reactor parameters for the European Lead Cooled Training Reactor

On the use of integral experiments for uncertainty reduction of reactor macroscopic parameters within the TMC methodology

Propagation of Nuclear Data Uncertainties for ELECTRA Burn-up Calculations

Benchmark selection methodology for reactor calculations and nuclear data uncertainty reduction

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