| Solar tower based aluminum heat treatment system: Part I. Design and evaluation of an open volumetric air receiver P Sharma, R Sarma, L Chandra, R Shekhar, PS Ghoshdastidar Solar energy 111, 135-150, 2015 | 34 | 2015 |
| On the design and evaluation of open volumetric air receiver for process heat applications P Sharma, R Sarma, L Chandra, R Shekhar, PS Ghoshdastidar Solar Energy 121, 41-55, 2015 | 23 | 2015 |
| Dust deposition mechanism and cleaning strategy for open volumetric air receiver based solar tower sub-systems G Singh, D Saini, N Yadav, R Sarma, L Chandra, R Shekhar Energy Procedia 69, 2081-2089, 2015 | 19 | 2015 |
| Bayesian inference of quasi‐linear radial diffusion parameters using Van Allen Probes R Sarma, M Chandorkar, I Zhelavskaya, Y Shprits, A Drozdov, ... Journal of Geophysical Research: Space Physics 125 (5), e2019JA027618, 2020 | 12 | 2020 |
| On the design and evaluation of open volumetric air receiver for process heat applications P Sharma, R Sarma, L Chandra, R Shekhar, PS Ghoshdastidar Energy Procedia 57, 2994-3003, 2014 | 10 | 2014 |
| Aeroelastic validation and Bayesian updating of a downwind wind turbine R Sarma, RP Dwight, A Viré Wind Energy 23 (4), 864-883, 2020 | 6 | 2020 |
| Uncertainty reduction in aeroelastic systems with time-domain reduced-order models R Sarma, RP Dwight AIAA Journal 55 (7), 2437-2449, 2017 | 6 | 2017 |
| Design and Analysis of Recirculating Air System in an Open Volumetric Air Receiver R Sarma Indian Institute of Technology Jodhpur, 2013 | 5 | 2013 |
| On the applications of heat and fluid flow for designing solar thermal sub-systems R Sarma, PK Sharma, D Kumar, L Chandra, PP Kumar, R Shekhar International Congress on Renewable Energy (ICORE) 30, 219-229, 2012 | 4 | 2012 |
| Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks M Aach, E Inanc, R Sarma, M Riedel, A Lintermann Journal of Big Data 10 (1), 96, 2023 | 3 | 2023 |
| Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods M Aach, E Inanc, R Sarma, M Riedel, A Lintermann International Conference on Automated Machine Learning, 12/1-17, 2023 | 1 | 2023 |
| Distributed Hybrid Quantum-Classical Performance Prediction for Hyperparameter Optimization E Wulff, JPG Amboage, M Aach, TE Gislason, TK Ingolfsson, ... | | 2024 |
| Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision M Aach, R Sarma, E Inanc, M Riedel, A Lintermann Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
| AI4HPC: Library to Train AI Models on HPC Systems using CFD Datasets E Inanc, R Sarma, M Aach, R Sedona, A Lintermann Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023 | | 2023 |
| AI4HPC v0. 3 E Inanc, R Sarma, M Aach, A Lintermann Jülich Supercomputing Center, 2023 | | 2023 |
| Data-driven discovery of Fokker-Planck equation for radiation belt electrons using physics-informed neural networks E Camporeale, GJ Wilkie, R Sarma, A Drozdov, J Bortnik AGU Fall Meeting 2020, 2020 | | 2020 |
| Data-driven discovery of Fokker-Planck equation for radiation belt electrons using physics-informed neural networks A Drozdov, E Camporeale, GJ Wilkie, R Sarma, J Bortnik AGU Fall Meeting Abstracts 2020, SM026-04, 2020 | | 2020 |
| Convolutional Autoencoder-based dimensionality reduction in Stratified Turbulence R Sarma, R Marino, E Camporeale AGU Fall Meeting Abstracts 2020, NG008-0004, 2020 | | 2020 |
| Estimation of Radiation Belts’ Phase Space Density using Physics-Informed Neural Networks GJ Wilkie, E Camporeale, R Sarma, J Bortnik, A Drozdov, YY Shprits AGU Fall Meeting 2019, 2019 | | 2019 |
| Estimation of Radiation Belts' Phase Space Density using Physics-Informed Neural Networks E Camporeale, GJ Wilkie, R Sarma, J Bortnik, A Drozdov, Y Shprits AGU Fall Meeting Abstracts 2019, SM51I-3287, 2019 | | 2019 |
