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Direct Comparison between Bayesian and Frequentist Uncertainty Quantification for Nuclear Reactions

Physical review letters, 2019-06, Vol.122 (23), p.232502-232502, Article 232502

2019

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New Perspectives on Spectroscopic Factor Quenching from Reactions

Physical review letters, 2023-11, Vol.131 (21), p.212503-212503, Article 212503

2023

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Angular Momentum Removal by Neutron and γ-Ray Emissions during Fission Fragment Decays

Physical review letters, 2021-11, Vol.127 (22), p.222502-222502, Article 222502

2021

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Recent advances in the quantification of uncertainties in reaction theory

Journal of physics. G, Nuclear and particle physics, 2021-01, Vol.48 (1), p.14001

2021

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Calculated covariance matrices for fission product yields using BeoH

EPJ Web of Conferences, 2023-01, Vol.281, p.18

2023

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The Extension of the Hauser-Feshbach Fission Fragment Decay Model to Multi-chance Fission and its Application to 239Pu

EPJ Web of Conferences, 2023, Vol.284, p.04015

2023

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Erratum: New Perspectives on Spectroscopic Factor Quenching from Reactions [Phys. Rev. Lett. 131, 212503 (2023)]

Physical review letters, 2024-03, Vol.132 (13), p.139901-139901, Article 139901

2024

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Nuclear data activities for medium mass and heavy nuclei at Los Alamos

EPJ Web of Conferences, 2023, Vol.284, p.12001

2023

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Uncertainty quantification due to optical potentials in models for ( d , p ) reactions

Physical review. C, 2018-10, Vol.98 (4), Article 044623

2018

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Statistical tools for a better optical model

Physical review. C, 2021-12, Vol.104 (6), Article 064611

2021

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Quantifying uncertainties on fission fragment mass yields with mixture density networks

Journal of physics. G, Nuclear and particle physics, 2020-11, Vol.47 (11), p.114001

2020

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The Los Alamos fission yield evaluation pipeline

EPJ Web of Conferences, 2020, Vol.242, p.5002

2020

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Systematic uncertainties in direct reaction theories

Journal of physics. G, Nuclear and particle physics, 2015-03, Vol.42 (3), p.34014

2015

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Producing Evaluation-quality 239Pu Average Prompt Fission Neutron Multiplicities using a Correlated Fission Model

EPJ Web of Conferences, 2023, Vol.284

2023

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Preequilibrium Asymmetries in the Pu 239 ( n , f ) Prompt Fission Neutron Spectrum

Physical review letters, 2019-02, Vol.122 (7), Article 072503

2019

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Extracting Hydrocarbon From Shale: An Investigation of the Factors That Influence the Decline and the Tail of the Production Curve

Water resources research, 2018-05, Vol.54 (5), p.3748-3757

2018

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Extracting capture from transfer reactions

Journal of physics. Conference series, 2020-10, Vol.1668 (1), p.12030

2020

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Shedding light on the 239Pu fission source term with new high-precision experiments and advanced fission modeling

Frontiers in physics, 2023-01, Vol.10

2023

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Constraining transfer cross sections using Bayes' theorem

Physical review. C, 2018-06, Vol.97 (6), Article 064612

2018

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New developments in reaction theory: preparing for the FRIB era

EPJ Web of Conferences, 2018, Vol.178, p.3001

2018

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Complete quantification of parametric uncertainties in ( d , p ) transfer reactions

Physical review. C, 2023-08, Vol.108 (2), Article 024601

2023

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Toward emulating nuclear reactions using eigenvector continuation

Physics letters. B, 2021-12, Vol.823 (C), p.136777, Article 136777

2021

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Fission fragment decay simulations with the CGMF code

Computer physics communications, 2021-12, Vol.269, p.108087, Article 108087

2021

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Physically interpretable machine learning for nuclear masses

Physical review. C, 2022-08, Vol.106 (2), Article L021301

2022

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Nuclear masses learned from a probabilistic neural network

Physical review. C, 2022-07, Vol.106 (1), Article 014305

2022

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Direct Comparison between Bayesian and Frequentist Uncertainty Quantification for Nuclear Reactions

New Perspectives on Spectroscopic Factor Quenching from Reactions

Angular Momentum Removal by Neutron and γ-Ray Emissions during Fission Fragment Decays

Recent advances in the quantification of uncertainties in reaction theory

Calculated covariance matrices for fission product yields using BeoH

The Extension of the Hauser-Feshbach Fission Fragment Decay Model to Multi-chance Fission and its Application to 239Pu

Erratum: New Perspectives on Spectroscopic Factor Quenching from Reactions [Phys. Rev. Lett. 131, 212503 (2023)]

Nuclear data activities for medium mass and heavy nuclei at Los Alamos

Uncertainty quantification due to optical potentials in models for ( d , p ) reactions

Statistical tools for a better optical model

Quantifying uncertainties on fission fragment mass yields with mixture density networks

The Los Alamos fission yield evaluation pipeline

Systematic uncertainties in direct reaction theories

Producing Evaluation-quality 239Pu Average Prompt Fission Neutron Multiplicities using a Correlated Fission Model

Preequilibrium Asymmetries in the Pu 239 ( n , f ) Prompt Fission Neutron Spectrum

Extracting Hydrocarbon From Shale: An Investigation of the Factors That Influence the Decline and the Tail of the Production Curve

Extracting capture from transfer reactions

Shedding light on the 239Pu fission source term with new high-precision experiments and advanced fission modeling

Constraining transfer cross sections using Bayes' theorem

New developments in reaction theory: preparing for the FRIB era

Complete quantification of parametric uncertainties in ( d , p ) transfer reactions

Toward emulating nuclear reactions using eigenvector continuation

Fission fragment decay simulations with the CGMF code

Physically interpretable machine learning for nuclear masses

Nuclear masses learned from a probabilistic neural network

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