| A supervised machine learning approach for predicting variable drag forces on spherical particles in suspension L He, DK Tafti Powder technology 345, 379-389, 2019 | 74 | 2019 |
| Evaluation of drag correlations using particle resolved simulations of spheres and ellipsoids in assembly L He, DK Tafti, K Nagendra Powder technology 313, 332-343, 2017 | 58 | 2017 |
| Phynet: Physics guided neural networks for particle drag force prediction in assembly N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Proceedings of the 2020 SIAM International Conference on Data Mining, 559-567, 2020 | 55 | 2020 |
| Heat transfer in an assembly of ellipsoidal particles at low to moderate Reynolds numbers L He, DK Tafti International Journal of Heat and Mass Transfer 114, 324-336, 2017 | 46 | 2017 |
| Variation of drag, lift and torque in a suspension of ellipsoidal particles L He, D Tafti Powder technology 335, 409-426, 2018 | 37 | 2018 |
| Physics-guided deep learning for drag force prediction in dense fluid-particulate systems N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Big Data 8 (5), 431-449, 2020 | 34 | 2020 |
| Large eddy simulation for predicting turbulent heat transfer in gas turbines DK Tafti, L He, K Nagendra Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2014 | 28 | 2014 |
| Physics-guided design and learning of neural networks for predicting drag force on particle suspensions in moving fluids N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne arXiv preprint arXiv:1911.04240, 2019 | 22 | 2019 |
| Evaluating the immersed boundary method in a ribbed duct for the internal cooling of turbine blades L He, D Tafti Turbo Expo: Power for Land, Sea, and Air 56710, V05AT11A036, 2015 | 11 | 2015 |
| Study of fluid structure interaction using sharp interface immersed boundary method L He, K Joshi, D Tafti Fluids Engineering Division Summer Meeting 50282, V01AT11A003, 2016 | 7 | 2016 |
| Validation and application of a particle based rime ice accretion methodology BM Duda, L He, J Escobar, A Jammalamadaka, W Li, J Wanderer, Y Li, ... AIAA SCITECH 2022 Forum, 2197, 2022 | 3 | 2022 |
| A study of Immersed Boundary Method in a Ribbed Duct for the Internal Cooling of Turbine Blades L He Virginia Tech, 2014 | 1 | 2014 |
| Science-Guided Design and Evaluation of Machine Learning Models: A Case-Study on Multi-Phase Flows N Muralidhar, J Bu, Z Cao, L He, N Ramakrishnan, D Tafti, A Karpatne Knowledge Guided Machine Learning, 211-232, 2022 | | 2022 |
| Study of Fluid Forces and Heat Transfer on Non-Spherical Particles in Assembly Using Particle Resolved Simulation L He Virginia Tech, 2018 | | 2018 |
Nagendra KrishnamurthyVirginia Tech, Dassault SystemesVerified email at vt.edu
