High-Order Finite Difference Formulations for the Incompressible Navier-Stokes Equations on the CM-5. - Danesh K. Tafti (PP, 1995)

Performance Enhancement on Microprocessors with Hierarchical Memory Systems for Solving Large Sparse Linear Systems. - G. Wang; Danesh K. Tafti (Int. J. High Perform. Comput. Appl., 1999)

VisBench: A Framework for Remote Data Visualization and Analysis. - Randy W. Heiland; M. Pauline Baker; Danesh K. Tafti (International Conference on Computational Science (2), 2001)

A Parallel Adaptive Mesh Refinement Algorithm for Solving Nonlinear Dynamical Systems. - Weicheng Huang; Danesh K. Tafti (Int. J. High Perform. Comput. Appl., 2004)

The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition. - Pilsung Kang 002; Mike Heffner; Joy Mukherjee; Naren Ramakrishnan; Srinidhi Varadarajan; Calvin J. Ribbens; Danesh K. Tafti (IPDPS, 2007)

Towards an Implementation of the OpenMP Collector API. - Van Bui; Oscar R. Hernandez; Barbara M. Chapman; Rick Kufrin; Danesh K. Tafti; Pradeep Gopalkrishnan (PARCO, 2007)

Modular, Fine-Grained Adaptation of Parallel Programs. - Pilsung Kang 002; Naresh K. C. Selvarasu; Naren Ramakrishnan; Calvin J. Ribbens; Danesh K. Tafti; Srinidhi Varadarajan (ICCS (1), 2009)

Dynamic tuning of algorithmic parameters of parallel scientific codes. - Pilsung Kang 002; Naresh K. C. Selvarasu; Naren Ramakrishnan; Calvin J. Ribbens; Danesh K. Tafti; Srinidhi Varadarajan (ICCS, 2010)

Implementing modular adaptation of scientific software. - Pilsung Kang 002; Naresh K. C. Selvarasu; Naren Ramakrishnan; Calvin J. Ribbens; Danesh K. Tafti; Yang Cao 001; Srinidhi Varadarajan (J. Comput. Sci., 2012)

OpenMP parallelism for fluid and fluid-particulate systems. - Amit Amritkar; Danesh K. Tafti; Rui Liu; Rick Kufrin; Barbara M. Chapman (Parallel Comput., 2012)

Efficient parallel CFD-DEM simulations using OpenMP. - Amit Amritkar; Surya Deb; Danesh K. Tafti (J. Comput. Phys., 2014)

A new approach for conjugate heat transfer problems using immersed boundary method for curvilinear grid based solvers. - Krishnamurthy Nagendra; Danesh K. Tafti; Kamal Viswanath (J. Comput. Phys., 2014)

Recycling Krylov subspaces for CFD applications. - Amit Amritkar; Eric de Sturler; Katarzyna Swirydowicz; Danesh K. Tafti; Kapil Ahuja (CoRR, 2015)

Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver. - Amit Amritkar; Eric de Sturler; Katarzyna Swirydowicz; Danesh K. Tafti; Kapil Ahuja (J. Comput. Phys., 2015)

Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. - Nikhil Muralidhar; Jie Bu; Ze Cao; Long He; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (CoRR, 2019)

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. - Nikhil Muralidhar; Jie Bu; Ze Cao; Long He; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (SDM, 2020)

Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. - Nikhil Muralidhar; Jie Bu; Ze Cao; Long He; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (Big Data, 2020)

PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. - Nikhil Muralidhar; Jie Bu; Ze Cao; Neil Raj; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (ICDM, 2021)