J. Sarich

发表

Nuclear Energy Density Optimization

Stefan M. Wild, M. Kortelainen, T. Lesinski, 2010, 1005.5145.

Optimization in SciDAC applications

J. J. Moré, T. Munson, J. Sarich, 2007 .

Nuclear energy density optimization: Large deformations

Stefan M. Wild, M. V. Stoitsov, W. Nazarewicz, 2011, 1111.4344.

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

Stefan M. Wild, D Higdon, S M Wild, 2015, Physical review letters.

One-quasiparticle States in the Nuclear Energy Density Functional Theory

M. V. Stoitsov, J. Dobaczewski, W. Nazarewicz, 2009, 0910.2164.

Uncertainty quantification and propagation in nuclear density functional theory

Stefan M. Wild, D. Higdon, J. Sarich, 2015, The European Physical Journal A.

ACME-SM : A Global Climate Model Software Modernization Surge

Vijay S. Mahadevan, J. Sarich, V. Larson, 2016 .

TAO 3.10 Users Manual

Lois Curfman McInnes, Todd Munson, Alp Dener, 2018 .

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

J. Sarich, R. Jacob, V. Mahadevan, 2018 .

Uncertainty Quantification for Optical Model Parameters

Stefan M. Wild, J. Sarich, A. Lovell, 2016, 1611.01526.

Quantification of Uncertainties in Nuclear Density Functional Theory

D. Higdon, J. Sarich, N. Schunck, 2014, 1406.4374.

PETSc/TAO Users Manual

Barry F. Smith, W. Gropp, K. Rupp, 2022 .

Error Analysis in Nuclear Density Functional Theory

Stefan M. Wild, D. Higdon, J. Sarich, 2014, 1406.4383.

Computing Heavy Elements

Stefan M. Wild, M. Kortelainen, W. Nazarewicz, 2011, 1107.5005.

Uncertainty quantification and propagation in nuclear density functional theory

Stefan M. Wild, D. Higdon, J. Sarich, 2015, The European Physical Journal A.

Stencil-Aware GPU Optimization of Iterative Solvers

P. Sadayappan, Boyana Norris, Gerald Sabin, 2013, SIAM J. Sci. Comput..

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

Stefan M. Wild, S M Wild, W. Nazarewicz, 2013, Physical review letters.

TAO Users Manual Revision 3.15

J. Sarich, L. McInnes, A. Dener, 2021 .

Derivative-free optimization for parameter estimation in computational nuclear physics

Stefan M. Wild, Nicolas Schunck, Jason Sarich, 2014, 1406.5464.

Nuclear energy density optimization: Shell structure

Stefan M. Wild, W. Nazarewicz, S. M. Wild, 2013, 1312.1746.

Computational nuclear quantum many-body problem: The UNEDF project

Masha Sosonkina, Joseph A. Carlson, Ewing L. Lusk, 2013, Comput. Phys. Commun..

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

Stefan M. Wild, Nicolas Schunck, Jason Sarich, 2012, Comput. Phys. Commun..

A Bayesian approach for parameter estimation and prediction using a computationally intensive model

Stefan M. Wild, Jason Sarich, Nicolas Schunck, 2014, Journal of Physics G: Nuclear and Particle Physics.

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

Lois C. McInnes, Todd Gamblin, J. David Moulton, 2017, Supercomput. Front. Innov..

Nuclear Energy Density Optimization: UNEDF2

Stefan M. Wild, M. Kortelainen, W. Nazarewicz, 2014, ARIŞ.

PETSc/TAO Users Manual Revision 3.19

V. Eijkhout, Lisandro Dalcin, J. Sarich, 2023 .

Uncertainty Quantification for Nuclear Density Functional Theory

Stefan M. Wild, Jason Sarich, Witold Nazarewicz, 2014 .

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

C. Zhang, Nicolas Schunck, Jason Sarich, 2017, Comput. Phys. Commun..

TAO users manual.

Lois Curfman McInnes, Jorge J. Moré, Steven J. Benson, 2003 .

HFODD (v2.40h): User's Guide

J. Dobaczewski, B. G. Carlsson, P. Olbratowski, 2009, 0909.3626.

Nuclear Energy Density Optimization: UNEDF2

Stefan M. Wild, M. Kortelainen, W. Nazarewicz, 2014, Proceedings of the Conference on Advances in Radioactive Isotope Science (ARIS2014).

Scalable Algorithms in Optimization: Computational Experiments

Lois Curfman McInnes, Jorge J. Moré, Steven J. Benson, 2004 .