Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Sitapure, Niranjan"'
Autor:
Sitapure, Niranjan, Kulkarni, Atharva
In recent years, battery technology for electric vehicles (EVs) has been a major focus, with a significant emphasis on developing new battery materials and chemistries. However, accurately predicting key battery parameters, such as state-of-charge (S
Externí odkaz:
http://arxiv.org/abs/2308.03260
Autor:
Sitapure, Niranjan, Kwon, Joseph S
Most existing digital twins rely on data-driven black-box models, predominantly using deep neural recurrent, and convolutional neural networks (DNNs, RNNs, and CNNs) to capture the dynamics of chemical systems. However, these models have not seen the
Externí odkaz:
http://arxiv.org/abs/2308.05749
Autor:
Sitapure, Niranjan, Kwon, Joseph S
Over the past three decades, numerous controllers have been developed to regulate complex chemical processes, but they have certain limitations. Traditional PI/PID controllers often require customized tuning for various set-point scenarios. On the ot
Externí odkaz:
http://arxiv.org/abs/2306.07510
Autor:
Sitapure, Niranjan, Kwon, Joseph S.
For prediction and real-time control tasks, machine-learning (ML)-based digital twins are frequently employed. However, while these models are typically accurate, they are custom-designed for individual systems, making system-to-system (S2S) transfer
Externí odkaz:
http://arxiv.org/abs/2306.03099
Publikováno v:
In Chemical Engineering Science 5 November 2024 299
Autor:
Nagpal, Satchit, Lee, Chi Ho, Sitapure, Niranjan, Kim, Youngjo, Gagnon, Zachary, Kwon, Joseph Sang-II
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Publikováno v:
In Chemical Engineering Research and Design June 2023 194:461-477
Publikováno v:
In Digital Chemical Engineering March 2023 6
Publikováno v:
In Journal of Cleaner Production 15 January 2023 384
Publikováno v:
In Chemical Engineering Research and Design July 2022 183:595-607