Seguir
Himanshu Sharma
Título
Citado por
Citado por
Año
A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations
R Maulik, H Sharma, S Patel, B Lusch, E Jennings
Computers & Fluids 227, 104777, 2021
572021
Accelerating RANS turbulence modeling using potential flow and machine learning
R Maulik, H Sharma, S Patel, B Lusch, E Jennings
arXiv preprint arXiv:1910.10878, 2019
312019
A transfer operator methodology for optimal sensor placement accounting for uncertainty
H Sharma, U Vaidya, B Ganapathysubramanian
Building and Environment 155, 334-349, 2019
262019
Deploying deep learning in OpenFOAM with TensorFlow
R Maulik, H Sharma, S Patel, B Lusch, E Jennings
AIAA Scitech 2021 Forum, 1485, 2021
252021
Control co-design of commercial building chiller plant using Bayesian optimization
A Bhattacharya, S Vasisht, V Adetola, S Huang, H Sharma, DL Vrabie
Energy and Buildings 246, 111077, 2021
222021
Deterministic and Bayesian Neural Networks for Low-latency Gravitational Wave Parameter Estimation of Binary Black Hole Mergers
H Shen, EA Huerta, Z Zhao, E Jennings, H Sharma
arXiv preprint arXiv:1903.01998, 2019
21*2019
Surrogate modeling approach towards coupling computational fluid dynamics and energy simulations for analysis and design of energy efficient attics
H Sharma, AD Fontanini, KS Cetin, J Kośny, B Ganapathysubramanian
Building and Environment 149, 196-209, 2019
102019
Transfer operator theoretic framework for monitoring building indoor environment in uncertain operating conditions
H Sharma, AD Fontanini, U Vaidya, B Ganapathysubramanian
2018 Annual American Control Conference (ACC), 6790-6797, 2018
82018
Data-driven modeling of power generation for a coal power plant under cycling
H Sharma, L Marinovici, V Adetola, HT Schaef
Energy and AI 11, 100214, 2023
72023
Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex
M Schram, K Rajput, KS NS, P Li, JS John, H Sharma
Physical Review Accelerators and Beams 26 (4), 044602, 2023
62023
Estimating contaminant distribution from finite sensor data: Perron Frobenious operator and ensemble Kalman Filtering
H Sharma, U Vaidya, B Ganapathysubramanian
Building and Environment 159, 106148, 2019
62019
Computational assessment of rainfall effects on aircraft aerodynamic characteristics
H Sharma, S Harshe, S Vekaria, M Singh, M Damodaran, BC Khoo
33rd AIAA applied aerodynamics conference, 3164, 2015
62015
Accelerating RANS turbulence modeling using potential flow and machine learning. arXiv 2019
R Maulik, H Sharma, S Patel, B Lusch, E Jennings
arXiv preprint arXiv:1910.10878, 0
6
Adversar: Adversarial search and rescue via multi-agent reinforcement learning
A Rahman, A Bhattacharya, T Ramachandran, S Mukherjee, H Sharma, ...
2022 IEEE International Symposium on Technologies for Homeland Security (HST …, 2022
52022
On the impacts of occupancy sensing on advanced model predictive controls in commercial buildings
H Sharma, S Bhattacharya, S Kundu, VA Adetola
Building and Environment 222, 109372, 2022
52022
Co-Design of Commercial Building HVAC using Bayesian Optimization
S Vasisht, A Bhattacharya, S Huang, H Sharma, V Adetola, D Vrabie
2021 American Control Conference (ACC), 366-372, 2021
42021
Sensor impact evaluation in commercial buildings: The case of occupancy-centric controls
X Lu, S Bhattacharya, H Sharma, V Adetola, Z O’Neill
Energy and Buildings 267, 112134, 2022
32022
Towards Learning-Based Architectures for Sensor Impact Evaluation in Building Controls
S Bhattacharya, H Sharma, V Adetola
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
32021
Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life
H Sharma, V Adetola, L Marinovici, HT Schaef
Turbo Expo: Power for Land, Sea, and Air 85031, V09BT26A013, 2021
32021
Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest
H Sharma, M Shrivastava, B Singh
npj Climate and Atmospheric Science 6 (1), 28, 2023
22023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20