Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Konduri Aditya"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-11
Spatial statistical analysis of multivariate volumetric data can be challenging due to scale, complexity, and occlusion. Advances in topological segmentation, feature extraction, and statistical summarization have helped overcome the challenges. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bfaa43f54398367eda3921421520324
https://doi.org/10.1109/tvcg.2022.3209473
https://doi.org/10.1109/tvcg.2022.3209473
Autor:
Shubham K. Goswami, Konduri Aditya
Publikováno v:
AIAA AVIATION 2022 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99197326ba4624b6ad3aed470fdec7e4
https://doi.org/10.2514/6.2022-4165
https://doi.org/10.2514/6.2022-4165
Publikováno v:
Journal of Computational Physics. 477:111922
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a12f12073d67e42f8932c30143d1662
https://doi.org/10.1016/j.jcp.2023.111922
https://doi.org/10.1016/j.jcp.2023.111922
Principal Component Analysis (PCA) is a dimensionality reduction technique widely used to reduce the computational cost associated with numerical simulations of combustion phenomena. However, PCA, which transforms the thermo-chemical state space base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::537b08a78e99b64f99e6768c2987c82f
http://arxiv.org/abs/2204.10271
http://arxiv.org/abs/2204.10271
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 26:2192-2203
The development of usable visualization solutions is essential for ensuring both their adoption and effectiveness. User-centered design principles, which involve users throughout the entire development process, have been shown to be effective in nume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf304f6ada437422a568aaef47c6630
https://doi.org/10.1109/tvcg.2020.2970525
https://doi.org/10.1109/tvcg.2020.2970525
Autor:
Komal Kumari, Emmet Cleary, Swapnil Desai, Diego A. Donzis, Jacqueline H. Chen, Konduri Aditya
Next-generation exascale machines with extreme levels of parallelism will provide massive computing resources for large scale numerical simulations of complex physical systems at unprecedented parameter ranges. However, novel numerical methods, scala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ca7609d40e1dc96765f669b2318e34a
Publikováno v:
AIAA Propulsion and Energy 2021 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b48646d9ecad93be75dbbb3ba27ec10
https://doi.org/10.2514/6.2021-3448
https://doi.org/10.2514/6.2021-3448
Publikováno v:
Combustion and Flame. 208:402-419
We address the problem of turbulent spontaneous ignition vs. deflagration propagating against a mean residence time gradient, particularly relevant to the stabilization of quasi-steady diesel flames and gas-turbine reheat combustion, by performing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2955fece64e7ef811bfa2822d5859484
https://doi.org/10.1016/j.combustflame.2019.07.020
https://doi.org/10.1016/j.combustflame.2019.07.020
Autor:
Konduri Aditya, Andrea Ciani, Mirko R. Bothien, Jacqueline H. Chen, Forman A. Williams, Andrea Gruber
Publikováno v:
Combustion and Flame
Direct Numerical Simulations (DNS) are performed to investigate the process of spontaneous ignition of hydrogen flames at laminar, turbulent, adiabatic and non-adiabatic conditions. Mixtures of hydrogen and vitiated air at temperatures representing g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448f745b35431c1ff2c84c0b6d731d6b
https://hdl.handle.net/11250/2740652
https://hdl.handle.net/11250/2740652
Publikováno v:
Data Analysis for Direct Numerical Simulations of Turbulent Combustion ISBN: 9783030447175
We propose the use of higher order tensors, and their decompositions, for efficient analysis of combustion direct numerical simulation (DNS) data. Turbulent combustion DNS data, being inherently multiscale and multivariate, pose many challenges and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6993dee0d2381db45cd6c0f17f62bbe
https://doi.org/10.1007/978-3-030-44718-2_6
https://doi.org/10.1007/978-3-030-44718-2_6