J. Ray and C. Kennedy and J. Steensland and H. N. Najm. Advanced algorithms for computations on block-structured adaptively refined meshes. In Anthony Mezzacappa, (ed.) SciDAC 2005, Scientific Discovery through Advanced Computing, 26--30 June 2005, San Francisco, CA, USA, volume 16 of Journal of Physics: Conference Series, pp. 113-118. Institute of Physics. 2005.
S. Lefantzi and J. Ray and C. A. Kennedy and H. N. Najm. A Component-Based Toolkit for Reacting Flow with High Order Spatial Discretizations on Structured Adaptively Refined Meshes. Progress in Computational Fluid Dynamics: An International Journal 5(6), pp. 298-315 (2006).
H. N. Najm and J. Ray and M. Valorani and F. Creta and D. A. Goussis. A Computational Facility for Reacting Flow Science. Journal of Physics: Conference Series 46, pp. 53-58 (2006).
Jaideep Ray and Robert C. Armstrong and Cosmin Safta and B. J. Debusschere and Benjamin A. Allan and H. N. Najm. Computational frameworks for advanced combustion simulations. In Tarek Echekki and Epaminondas Mastorakos, (eds.) Turbulent Combustion Modeling: Advances, Trends and Perspective Springer-Verlag. (In Press) 2010.
J. C. Lee and H. N. Najm and S. Lefantzi and J. Ray and M. Frenklach and M. Valorani and D. Goussis. A CSP and Tabulation Based Adaptive Chemistry Model. Combustion Theory and Modeling (2006). in press
J. Ray and C. Kennedy and S. Lefantzi and H. N. Najm. High-order spatial discretizations and extended stability methods for reacting flows on structured adaptively refined meshes. In Third Joint Meeting of the U.S. Sections of The Combustion Institute 2003.
S. Lefantzi and C. Kennedy and J. Ray and H. N. Najm. A study of the effect of higher order spatial discretizations in SAMR (Structured Adaptive Mesh Refinement) simulations. In Proceedings of the Fall Meeting of the Western States Section of the The Combustion Institute 2003. Published on CD-ROM
J. Ray and C. A. Kennedy and S. Lefantzi and H. N. Najm. Using High-Order Methods on Adaptively Refined Block-Structured Meshes--Discretizations, Interpolations, and Filters. SIAM Journal on Scientific Computing (2006). in review; also available as Sandia Technical Report SAND2005-7981
S. Lefantzi and J. Ray and H. N. Najm. Using the Common Component Architecture to Design High Performance Scientific Simulation Codes. In Proceedings of the 17<span class='mathrm'><sup>th</sup></span> International Parallel and Distributed Processing Symposium IEEE Computer Society, Los Alamitos, California, USA. 2003.