A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation MA Patil, P Tagade, KS Hariharan, SM Kolake, T Song, T Yeo, S Doo Applied energy 159, 285-297, 2015 | 529 | 2015 |
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis P Tagade, KS Hariharan, S Ramachandran, A Khandelwal, A Naha, ... Journal of Power Sources 445, 227281, 2020 | 171 | 2020 |
Internal short circuit detection in Li-ion batteries using supervised machine learning A Naha, A Khandelwal, S Agarwal, P Tagade, KS Hariharan, A Kaushik, ... Scientific reports 10 (1), 1301, 2020 | 92 | 2020 |
Mathematical modeling of lithium batteries: from electrochemical models to state estimator algorithms KS Hariharan, P Tagade, S Ramachandran Springer International Publishing, 2018 | 76 | 2018 |
An incremental voltage difference based technique for online state of health estimation of li-ion batteries A Naha, S Han, S Agarwal, A Guha, A Khandelwal, P Tagade, ... Scientific reports 10 (1), 9526, 2020 | 58 | 2020 |
Attribute driven inverse materials design using deep learning Bayesian framework PM Tagade, SP Adiga, S Pandian, MS Park, KS Hariharan, SM Kolake npj Computational Materials 5 (1), 127, 2019 | 38 | 2019 |
A Gaussian process emulator approach for rapid contaminant characterization with an integrated multizone-CFD model PM Tagade, BM Jeong, HL Choi Building and Environment 70, 232-244, 2013 | 38 | 2013 |
Recursive Bayesian filtering framework for lithium-ion cell state estimation P Tagade, KS Hariharan, P Gambhire, SM Kolake, T Song, D Oh, T Yeo, ... Journal of Power Sources 306, 274-288, 2016 | 36 | 2016 |
Electrochemical stability of ether based salt-in-polymer based electrolytes: Computational investigation of the effect of substitution and the type of salt S Pandian, SP Adiga, P Tagade, KS Hariharan, KS Mayya, YG Lee Journal of Power Sources 393, 204-210, 2018 | 32 | 2018 |
Bayesian calibration for electrochemical thermal model of lithium-ion cells P Tagade, KS Hariharan, S Basu, MKS Verma, SM Kolake, T Song, D Oh, ... Journal of Power Sources 320, 296-309, 2016 | 26 | 2016 |
A generalized polynomial chaos-based method for efficient Bayesian calibration of uncertain computational models PM Tagade, HL Choi Inverse Problems in Science and Engineering 22 (4), 602-624, 2014 | 21 | 2014 |
Mixture ensembles for data assimilation in dynamic data-driven environmental systems P Tagade, H Seybold, S Ravela Procedia Computer Science 29, 1266-1276, 2014 | 21 | 2014 |
Empirical relationship between chemical structure and redox properties: Mathematical expressions connecting structural features to energies of frontier orbitals and redox … PM Tagade, SP Adiga, MS Park, S Pandian, KS Hariharan, SM Kolake The Journal of Physical Chemistry C 122 (21), 11322-11333, 2018 | 16 | 2018 |
Deep Gaussian process-based Bayesian inference for contaminant source localization YJ Park, PM Tagade, HL Choi Ieee Access 6, 49432-49449, 2018 | 15 | 2018 |
On a quadratic information measure for data assimilation P Tagade, S Ravela 2014 American Control Conference, 598-603, 2014 | 14 | 2014 |
Bayesian framework for calibration of gas turbine simulator PM Tagade, K Sudhakar, SK Sane Journal of Propulsion and Power 25 (4), 987-992, 2009 | 11 | 2009 |
Electrical resistivity of atomically smooth single-crystal Cu films PP Shinde, P Tagade, SP Adiga, A Konar, S Pandian, KS Mayya, HJ Shin, ... Physical Review B 102 (16), 165102, 2020 | 7 | 2020 |
Theoretical framework of the electrochemical model KS Hariharan, P Tagade, S Ramachandran, KS Hariharan, P Tagade, ... Mathematical Modeling of Lithium Batteries: From Electrochemical Models to …, 2018 | 4 | 2018 |
Ensemble learning in non-gaussian data assimilation H Seybold, S Ravela, P Tagade Dynamic Data-Driven Environmental Systems Science: First International …, 2015 | 4 | 2015 |
Inferencing component maps of gas turbine engine using Bayesian framework PM Tagade, K Sudhakar Journal of Propulsion and Power 27 (1), 94-104, 2011 | 4 | 2011 |