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Sophia Lefantzi
Researcher at Sandia National Laboratories
Publications - 35
Citations - 804
Sophia Lefantzi is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Common Component Architecture & Reynolds-averaged Navier–Stokes equations. The author has an hindex of 14, co-authored 35 publications receiving 719 citations. Previous affiliations of Sophia Lefantzi include SNL Financial.
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Journal ArticleDOI
A Component Architecture for High-Performance Scientific Computing
Benjamin A. Allan,Robert C. Armstrong,David E. Bernholdt,Felipe Bertrand,Kenneth Chiu,Tamara L. Dahlgren,Kostadin Damevski,Wael R. Elwasif,T Epperly,Madhusudhan Govindaraju,Daniel S. Katz,James Arthur Kohl,Manojkumar Krishnan,Gary Kumfert,J. Walter Larson,Sophia Lefantzi,Michael J. Lewis,Allen D. Malony,Lois C. Mclnnes,Jarek Nieplocha,Boyana Norris,Steven G. Parker,Jaideep Ray,Sameer Shende,Theresa L. Windus,Shujia Zhou +25 more
TL;DR: The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance coputing.
ReportDOI
DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.
Michael S. Eldred,Dena M. Vigil,Keith R. Dalbey,William J. Bohnhoff,Brian M. Adams,Laura Painton Swiler,Sophia Lefantzi,Patricia Diane Hough,John Eddy +8 more
TL;DR: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides aible and extensible interface between simulation codes and iterative analysis methods.
Journal ArticleDOI
Bayesian Parameter Estimation of a k-ε Model for Accurate Jet-in-Crossflow Simulations
TL;DR: In this article, a Bayesian inverse problem is formulated to estimate three Reynolds-averaged Navier-Stokes parameters (Cμ,Ce2,ce1) and a Markov chain Monte Carlo method is used to develop a probability density function for them.
Journal ArticleDOI
A CSP and tabulation-based adaptive chemistry model
Jina Lee,Habib N. Najm,Sophia Lefantzi,Jaideep Ray,Michael Frenklach,Mauro Valorani,Dimitris A. Goussis +6 more
TL;DR: The feasibility of a new strategy for the construction of an adaptive chemistry model that is based on an explicit integrator stabilized by an approximation of the Computational Singular Perturbation (CSP)-slow-manifold projector is demonstrated.
Book ChapterDOI
Parallel PDE-Based Simulations Using the Common Component Architecture
Lois Curfman McInnes,Benjamin A. Allan,Robert C. Armstrong,Steven J. Benson,David E. Bernholdt,Tamara L. Dahlgren,Lori Freitag Diachin,Manojkumar Krishnan,James Arthur Kohl,J. Walter Larson,Sophia Lefantzi,Jarek Nieplocha,Boyana Norris,Steven G. Parker,Jaideep Ray,Shujia Zhou +15 more
TL;DR: This group is collaborating with others in the high-performance computing community to design suites of domain-specific component interface specifications and underlying implementations for parallel PDE-based simulations.