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Uncertainty quantification for nuclear density functional theory and information content of new measurements

Physical review letters, 2015-03, Vol.114 (12), p.122501-122501, Article 122501

2015

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Optimized chiral nucleon-nucleon interaction at next-to-next-to-leading order

Physical review letters, 2013-05, Vol.110 (19), p.192502-192502, Article 192502

2013

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Axially deformed solution of the Skyrme–Hartree–Fock–Bogolyubov equations using the transformed harmonic oscillator basis (III) hfbtho (v3.00): A new version of the program

Computer physics communications, 2017-11, Vol.220 (C), p.363-375

2017

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Axially deformed solution of the Skyrme-Hartree–Fock–Bogoliubov equations using the transformed harmonic oscillator basis (II) hfbtho v2.00d: A new version of the program

Computer physics communications, 2013-06, Vol.184 (6), p.1592-1604

2013

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Uncertainty quantification and propagation in nuclear density functional theory

The European physical journal. A, Hadrons and nuclei, 2015-12, Vol.51 (12), Article 169

2015

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Nuclear energy density optimization

Physical review. C, Nuclear physics, 2010-08, Vol.82 (2), Article 024313

2010

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One-quasiparticle states in the nuclear energy density functional theory

Physical review. C, Nuclear physics, 2010-02, Vol.81 (2), Article 024316

2010

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Nuclear energy density optimization: Shell structure

Physical review. C, Nuclear physics, 2014-05, Vol.89 (5), Article 054314

2014

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Uncertainty quantification for optical model parameters

Physical review. C, 2017-02, Vol.95 (2), Article 024611

2017

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Towards the universal nuclear energy density functional

Journal of physics. Conference series, 2009-07, Vol.180 (1), p.012082

2009

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Solution of the Skyrme–Hartree–Fock–Bogolyubov equations in the Cartesian deformed harmonic-oscillator basis

Computer physics communications, 2009-11, Vol.180 (11), p.2361-2391

2009

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Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x)

Geoscientific Model Development, 2020-05, Vol.13 (5), p.2355-2377

2020

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Solution of the Skyrme-Hartree-Fock-Bogolyubov equations in the Cartesian deformed harmonic-oscillator basis. (VI) HFODD (v2.40h): A new version of the program

Computer physics communications, 2009-11, Vol.180 (11)

2009

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Component-based integration of chemistry and optimization software

Journal of computational chemistry, 2004-11, Vol.25 (14), p.1717-1725

2004

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Nuclear energy density optimization: Large deformations

Physical review. C, Nuclear physics, 2012-02, Vol.85 (2), Article 024304

2012

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Computational nuclear quantum many-body problem: The UNEDF project

Computer physics communications, 2013-10, Vol.184 (10), p.2235-2250

2013

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Uncertainty quantification for nuclear density functional theory and information content of new measurements

Physical review letters, 2015-03, Vol.114 (12)

2015

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Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements

Physical review letters, 2015-03, Vol.114 (12)

2015

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Uncertainty quantification and propagation in nuclear density functional theory

The European physical journal. A, Hadrons and nuclei, 2015-12, Vol.51 (12)

2015

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Quantification of Uncertainties in Nuclear Density Functional Theory

Nuclear data sheets, 2015-01, Vol.123 (C), p.115-118

2015

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Olfactory ensheathing cells: characteristics, genetic engineering, and therapeutic potential

Journal of neurotrauma, 2006-03, Vol.23 (3-4), p.468-478

2006

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Quantification of Uncertainties in Nuclear Density Functional Theory

Nuclear data sheets, 2015-01, Vol.123

2015

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Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order

Physical review letters, 2013-05, Vol.110 (19)

2013

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Quantification of Uncertainties in Nuclear Density Functional Theory

2014

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Using the GA and TAO toolkits for solving large-scale optimization problems on parallel computers

ACM transactions on mathematical software, 2007-06, Vol.33 (2), p.11

2007

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Uncertainty quantification for nuclear density functional theory and information content of new measurements

Optimized chiral nucleon-nucleon interaction at next-to-next-to-leading order

Axially deformed solution of the Skyrme–Hartree–Fock–Bogolyubov equations using the transformed harmonic oscillator basis (III) hfbtho (v3.00): A new version of the program

Axially deformed solution of the Skyrme-Hartree–Fock–Bogoliubov equations using the transformed harmonic oscillator basis (II) hfbtho v2.00d: A new version of the program

Uncertainty quantification and propagation in nuclear density functional theory

Nuclear energy density optimization

One-quasiparticle states in the nuclear energy density functional theory

Nuclear energy density optimization: Shell structure

Uncertainty quantification for optical model parameters

Towards the universal nuclear energy density functional

Solution of the Skyrme–Hartree–Fock–Bogolyubov equations in the Cartesian deformed harmonic-oscillator basis

Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x)

Solution of the Skyrme-Hartree-Fock-Bogolyubov equations in the Cartesian deformed harmonic-oscillator basis. (VI) HFODD (v2.40h): A new version of the program

Component-based integration of chemistry and optimization software

Nuclear energy density optimization: Large deformations

Computational nuclear quantum many-body problem: The UNEDF project

Uncertainty quantification for nuclear density functional theory and information content of new measurements

Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements

Uncertainty quantification and propagation in nuclear density functional theory

Quantification of Uncertainties in Nuclear Density Functional Theory

Olfactory ensheathing cells: characteristics, genetic engineering, and therapeutic potential

Quantification of Uncertainties in Nuclear Density Functional Theory

Optimized Chiral Nucleon-Nucleon Interaction at Next-to-Next-to-Leading Order

Quantification of Uncertainties in Nuclear Density Functional Theory

Using the GA and TAO toolkits for solving large-scale optimization problems on parallel computers

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