Publications

Harish Gopalakrishnan, Raj Maddipati, Andrea Gruber, Mirko R Bothien, Konduri Aditya (2024). A Reactor-Network Framework to Model Performance and Emissions of a Longitudinally Staged Combustion System for Carbon-Free Fuels. American Society of Mechanical Engineers Digital Collection.

Akash Rodhiya, Andrea Gruber, Jacqueline H. Chen, Konduri Aditya (2024). Spontaneous ignition and flame propagation in hydrogen/methane wrinkled laminar flames at reheat conditions: Effect of pressure and hydrogen fraction. Combustion and Flame.

Priyabrat Dash, Konduri Aditya (2024). A scale-similarity based workflow for self-supervised reconstruction of small-scales in turbulence using deep learning. Physics of Fluids.

Dibyajyoti Nayak, Anirudh Jonnalagadda, Uma Balakrishnan, Hemanth Kolla, Konduri Aditya (2024). A co-kurtosis PCA based dimensionality reduction with nonlinear reconstruction using neural networks. Combustion and Flame.

Priyabrat Dash, Konduri Aditya (2023). Physics-guided deep learning for reconstructing small-scale structures in turbulent flows. 2023 Bulletin of the American Physical Society.

Konduri Aditya, Dibyajyoti Nayak, Anirudh Jonnalagadda, Uma Balakrishnan, Hemanth Kolla (2023). A co-kurtosis PCA based dimensionality reduction with neural network reconstruction for chemical kinetics in reacting flows. 2023 Bulletin of the American Physical Society.

Shubham K. Goswami, Dapse Vidyesh, Konduri Aditya (2023). Implementation of the asynchronous discontinuous-Galerkin method for reacting flow simulations. 2023 Bulletin of the American Physical Society.

Anirudh Jonnalagadda, Shashank Tiwari, Konduri Aditya (2023). An implementation of heterogeneous chemistry into AMReX-based combustion solvers. 2023 Bulletin of the American Physical Society.

Anirudh Jonnalagadda, Shubham Kulkarni, Akash Rodhiya, Hemanth Kolla, Konduri Aditya (2023). A co-kurtosis based dimensionality reduction method for combustion datasets. Combustion and Flame.

Shubham K. Goswami, Vinod J. Matthew, Konduri Aditya (2023). Implementation of low-storage Runge-Kutta time integration schemes in scalable asynchronous partial differential equation solvers. Journal of Computational Physics.

Komal Kumari, Emmet Cleary, Swapnil Desai, Diego A. Donzis, Jacqueline H. Chen, Konduri Aditya (2023). Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows. Journal of Computational Physics.

Shubham K. Goswami, Konduri Aditya (2022). A scalable asynchronous discontinuous-Galerkin method for massively parallel PDE solvers. 2022 APS Division of Fluid Dynamics.

Shubham K. Goswami, Konduri Aditya (2022). An asynchronous discontinuous-Galerkin method for solving PDEs at extreme scales. AIAA AVIATION 2022 Forum.

Shubham K. Goswami, Vinod J. Matthew, Konduri Aditya (2021). A low-storage Runge-Kutta time integration method for scalable asynchrony-tolerant numerical schemes. 2021 APS Division of Fluid Dynamics.

Akash Rodhiya, Konduri Aditya, Andrea Gruber, Jacqueline H. Chen (2021). Simulations of flame structure in a reheat burner: pressure scaling. AIAA Propulsion and Energy 2021 Forum.

Andrea Gruber, Mirko R. Bothien, Andrea Ciani, Konduri Aditya, Jacqueline H. Chen, Forman A. Williams (2021). Direct Numerical Simulation of hydrogen combustion at auto-ignitive conditions: Ignition, stability and turbulent reaction-front velocity. Combustion and Flame.

Q. Wu, T. Neuroth, O. Igouchkine, K. Aditya, J. H. Chen, K. Ma (2020). DIVA: A Declarative and Reactive Language for in situ Visualization. 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV).

Y. C. Ye, F. Sauer, K. Ma, K. Aditya, J. Chen (2020). A User-Centered Design Study in Scientific Visualization Targeting Domain Experts. IEEE Transactions on Visualization and Computer Graphics.

Hemanth Kolla, Konduri Aditya, Jacqueline H. Chen (2020). Higher Order Tensors for DNS Data Analysis and Compression. Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning.

Konduri Aditya, Hemanth Kolla, Jacqueline H. Chen (2019). DNS of a turbulent premixed flame stabilized over a backward facing step. 11th U.S. National Combustion Meeting.

Bruno Savard, Evatt R. Hawkes, Konduri Aditya, Haiou Wang, Jacqueline H. Chen (2019). Regimes of premixed turbulent spontaneous ignition and deflagration under gas-turbine reheat combustion conditions. Combustion and Flame.

Edward Richardson, Konduri Aditya, Donghyuk Shin, Jackie Chen (2019). Fluid Age-Based Modelling For Turbulent Premixed Combustion In Free-Shear Flows. 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP11).

Konduri Aditya, Andrea Gruber, Chao Xu, Tianfeng Lu, Alex Krisman, Mirko R. Bothien, Jacqueline H. Chen (2019). Direct numerical simulation of flame stabilization assisted by autoignition in a reheat gas turbine combustor. Proceedings of the Combustion Institute.

Konduri Aditya, Hemanth Kolla, W. Philip Kegelmeyer, Timothy M. Shead, Julia Ling, Warren L. Davis (2019). Anomaly detection in scientific data using joint statistical moments. Journal of Computational Physics.

Konduri Aditya, Tobias Gysi, Grzegorz Kwasniewski, Torsten Hoefler, Diego A. Donzis, Jacqueline H. Chen (2019). A scalable weakly-synchronous algorithm for solving partial differential equations.

Andrea Gruber, Edward S. Richardson, Konduri Aditya, Jacqueline H. Chen (2018). Direct numerical simulations of premixed and stratified flame propagation in turbulent channel flow. Phys. Rev. Fluids.

Andreas H Rauch, Aditya Konduri, Jacqueline Chen, Hemanth Kolla, Harsha K Chelliah (2018). DNS investigation of cavity stabilized premixed turbulent Ethylene-Air flame. 2018 AIAA Aerospace Sciences Meeting.

J. Ling, W. P. Kegelmeyer, K. Aditya, H. Kolla, K. A. Reed, T. M. Shead, W. L. Davis (2017). Using feature importance metrics to detect events of interest in scientific computing applications. 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV).

Timothy Shead, Aditya Konduri, Hemanth Kolla, Daniel Dunlavy, W. Philip Kegelmeyer (2017). Embedding Python for In-Situ Analysis..

Konduri Aditya, Diego A. Donzis (2017). High-order asynchrony-tolerant finite difference schemes for partial differential equations. Journal of Computational Physics.

Y. C. Ye, T. Neuroth, F. Sauer, K. Ma, G. Borghesi, A. Konduri, H. Kolla, J. Chen (2016). In situ generated probability distribution functions for interactive post hoc visualization and analysis. 2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV).

Aditya Konduri (2016). Highly Scalable Asynchronous Computing Method for Partial Differential Equations: A Path Towards Exascale.

Diego A. Donzis, Konduri Aditya, K. R. Sreenivasan, P. K. Yeung (2014). The Turbulent Schmidt Number. Journal of Fluids Engineering.

Diego A. Donzis, Konduri Aditya (2014). Asynchronous finite-difference schemes for partial differential equations. Journal of Computational Physics.

Konduri Aditya, Diego A Donzis, Torsten Hoefler (2013). Asynchronous PDE Solver for Computing at Extreme Scales. High Performance Computing, Networking, Storage and Analysis (SCC).

Aditya Konduri, Diego A Donzis (2012). Poster: Asynchronous Computing for Partial Differential Equations at Extreme Scales. 2012 SC Companion: High Performance Computing, Networking Storage and Analysis.

K. Aditya, S. M. Deshpande, K. R. Sreenivas, R. Narasimha (2010). Numerical Simulation of a 2D Starting-Plume Cloud-Flow. Direct and Large-Eddy Simulation VII.

Konduri Aditya (2009). Direct numerical simulation of starting-plume cloud-flows.

Konduri Aditya, Vasudevan Malolan (2007). Investigation of strouhal number effect on flapping wing micro air vehicle. 45th AIAA Aerospace Sciences Meeting and Exhibit.