SCI Publications
2004
A.R. Sanderson, C.R. Johnson, R.M. Kirby.
“Display of Vector Fields Using a Reaction Diffusion Model,” In Proceeding of IEEE Visualization 2004, pp. 115--122. 2004.
U. Schmitt, C.H. Wolters, A. Anwander, T. Knoesche.
“STR: A New Spatio-Temporal Approach for Accurate and Efficient Current Density Reconstruction,” In Proceedings of The 14th International Conference on Biomagnetism, pp. 591--592. 2004.
H.-W. Shen, G.-S. Li, U. Bordoloi.
“Interactive Visualization of Three-Dimensional Vector Fields with Flexible Appearance Control,” In IEEE Transactions on Visualization and Computer Graphics, Vol. 10, No. 4, pp. 434--445. 2004.
J. Simpson, S.J. Balling.
“ANNOT3D and Packaging of 3D Visualizations for Educational Purposes,” In Proceedings of The 12th Annual Medicine Meets Virtual Reality Conference, Newport Beach, CA, pp. (in press). January, 2004.
K.J. Stabile, J. Pfaeffle, J.A. Weiss, K. Fisher, M.M. Tomaino.
“Bi-directional Mechanical Properties of the Human Forearm Interosseous Ligament,” In J. Orthoped. Res., Vol. 22, No. 3, pp. 607--612. 2004.
F. Stenger, T. Cook, R.M. Kirby.
“Sinc Solution of Biharmonic Problems,” In Canadian Applied Mathematics Quarterly, Vol. 12, No. 3, pp. 391--413. 2004.
T. Tasdizen, D.M. Weinstein, J.N. Lee.
“Automatic Tissue Classification for the Human Head from Multispectral MRI,” SCI Institute Technical Report, No. UUSCI-2004-001, University of Utah, March, 2004.
T. Tasdizen, R.T. Whitaker.
“Higher-order nonlinear priors for surface reconstruction,” In IEEE Trans. Pattern Anal. & Mach. Intel., Vol. 26, No. 7, pp. 878--891. July, 2004.
T. Tasdizen, R.T. Whitaker.
“An Efficient, Geometric Multigrid Solver for the Anisotropic Diffusion Equation in Two and Three Dimensions,” SCI Institute Technical Report, No. UUSCI-2004-002, University of Utah, June, 2004.
X. Tricoche, C. Garth, G. Kindlmann, E. Deines, G. Scheuermann, Markus Ruetten, Charles D. Hansen.
“Visualization of Intricate Flow Structures for Vortex Breakdown Analysis,” In Proceeding of IEEE Visualization 2004, pp. 187--194. 2004.
X. Tricoche, C. Garth, T. Bobach, G. Scheuermann, M. Ruetten.
“Accurate and Efficient Visualization of Flow Structures in a Delta Wing Simulation.,” In 34th AIAA Fluid Dynamics Conference and Exhibit, Portland, OR., American Institute of Aeronautics and Astronautics AIAA, June, 2004.
D. Uesu, L. Bavoil, S. Fleishman, C.T. Silva.
“Simplification of Unstructured Tetrahedral Meshes by Point-Sampling,” SCI Institute Technical Report, No. UUSCI-2004-005, University of Utah, 2004.
R. Van Uitert, C.R. Johnson, L. Zhukov.
“Influence of Head Tissue Conductivity in Forward and Inverse Magnetoencephalographic Simulations Using Realistic Head Models,” In IEEE Trans Biomed. Eng., Vol. 51, No. 12, pp. 2129--2137. 2004.
M.J. van Kreveld, R. van Oostrum, C.L. Bajaj, V. Pascucci, D.R. Schikore.
“Efficient contour tree and minimum seed set construction,” In Surface Topological Data Structures: An Introduction for Geographical Information Science, Note: UCRL-BOOK-200018, Edited by Sanjay Rana and Jo Wood, John Wiley & Sons, pp. 71--86. May, 2004.
A.I. Veress, N. Phatak, J.A. Weiss.
“Deformable Image Registration with Hyperelastic Warping,” In Topics in Biomedical Engineering International Book Series, Edited by J.S. Suri and D.L Wilson and S. Laxminarayan, Springer, pp. 487--533. 2004.
DOI: 10.1007/0-306-48608-3_12
A.I. Veress, W.P. Segars, B.M.W. Tsui, J.A. Weiss, G.T. Gullberg.
“Physiologically Realistic LV Models to Produce Normal and Pathological Image and Phantom Data,” In Proceedings of the IEEE Medical Imaging Conference, Rome, October, 2004.
A. Violi.
“Modeling of Soot Particle Inception in Aromatic and Aliphatic Premixed Flames,” In Combustion and Flame, Vol. 139, No. 4, pp. 279--287. December, 2004.
DOI: 10.1016/j.combustflame.2004.08.013
The growth of hydrocarbon molecules up to sizes of incipient soot is computed in premixed laminar flames using kinetic Monte Carlo and molecular dynamic methodologies (AMPI code). This approach is designed to preserve atomistic scale structure (bonds, bond angles, dihedral angles) as soot precursors evolve into three-dimensional structures. Application of this code to aliphatic (acetylene) and aromatic (benzene) flame environments is able to explain results in the literature on the differences in properties of soot precursors from these two classes of flames, particularly relating to H/C ratio, particle sphericity, and depolarization ratio.
A. Violi, T.N. Truong, A.F. Sarofim.
“Kinetics of Hydrogen Abstraction Reactions from Polycyclic Aromatic Hydrocarbons by H Atoms,” In Journal of Physical Chemistry, A, Vol. 108, No. 22, pp. 4846--4852. May, 2004.
DOI: 10.1021/jp026557d
An application of the Reaction Class Transition State Theory/Linear Energy Relationship (RC-TST/LER) is presented for the evaluation of the thermal rate constants of hydrogen abstraction reactions by H atoms from Polycyclic Aromatic Hydrocarbons (PAH). Two classes of reactions have been considered, namely hydrogen bonded to six- and five-membered rings, respectively, and twenty-two reactions have been used to develop the RC-TST/LER parameters. B3LYP and BH&HLYP density functional theory methods were used to calculate necessary potential energy surface information. Detailed analyses of RC-TST/LER reaction factors lead to the conclusion that rate constants for any reaction in these two classes can be approximated by those of its corresponding principal reaction corrected by the reaction symmetry factor. Specifically, for hydrogen abstraction from six-membered rings such as naphthalene and pyrene, k(T) = (σ/σH+C6H6) kH+C6H6 = (σ/6)1.42 × 108T1.77 exp(−6570/T)(cm3/mol·s), and for hydrogen abstraction from five-membered rings such as acenaphthylene and acephenanthrylene, k(T) = (σ/σH+C12H8) kH+C12H8 = (σ/2)3.27 × 108T1.71 exp(−8170/T) (cm3/mol·s), where σ is the reaction symmetry number.
X. Wan, D. Xiu, G.E. Karniadakis.
“Stochastic Solutions for the Two-dimensional Advection-Diffusion Equation,” In SIAM Journal on Scientific Computing, Vol. 26, No. 2, pp. 578--590. 2004.
DOI: 10.1137/S106482750342684X
In this paper, we solve the two-dimensional advection-diffusion equation with random transport velocity. The generalized polynomial chaos expansion is employed to discretize the equation in random space while the spectral hp element method is used for spatial discretization. Numerical results which demonstrate the convergence of generalized polynomial chaos are presented. Specifically, it appears that the fast convergence rate in the variance is the same as that of the mean solution in the Jacobi-chaos unlike the Hermite-chaos. To this end, a new model to represent compact Gaussian distributions is also proposed.
Keywords: generalized polynomial chaos, advection-diffusion, stochastic modeling
C.H. Wolters, L. Grasedyck, A. Anwander, H. Hackbusch.
“Efficient Computation of Lead Field Bases and Influence Matrix for the FEM-Based EEG and MEG Inverse Problem,” In Proceedings of The 14th International Conference on Biomagnetism, Boston, MA, pp. 104--107. August, 2004.