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Piyush Tagade
Piyush Tagade
Machine Learning Scientist, Northvolt AB
Verified email at northvolt.com
Title
Cited by
Cited by
Year
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
5042015
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
1592020
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
852020
Mathematical modeling of lithium batteries: from electrochemical models to state estimator algorithms
KS Hariharan, P Tagade, S Ramachandran
Springer International Publishing, 2018
752018
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
562020
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
382013
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
362016
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
332019
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
282018
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
252016
Mixture ensembles for data assimilation in dynamic data-driven environmental systems
P Tagade, H Seybold, S Ravela
Procedia Computer Science 29, 1266-1276, 2014
212014
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
192014
Deep gaussian process-based bayesian inference for contaminant source localization
YJ Park, PM Tagade, HL Choi
Ieee Access 6, 49432-49449, 2018
152018
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
152018
On a quadratic information measure for data assimilation
P Tagade, S Ravela
2014 American Control Conference, 598-603, 2014
142014
Bayesian framework for calibration of gas turbine simulator
PM Tagade, K Sudhakar, SK Sane
Journal of Propulsion and Power 25 (4), 987-992, 2009
112009
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
82020
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
42018
Ensemble learning in non-gaussian data assimilation
H Seybold, S Ravela, P Tagade
Dynamic Data-Driven Environmental Systems Science: First International …, 2015
42015
Inferencing component maps of gas turbine engine using Bayesian framework
PM Tagade, K Sudhakar
Journal of Propulsion and Power 27 (1), 94-104, 2011
42011
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Articles 1–20