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C

Chetan S. Kulkarni

national aeronautics & space administration (nasa)

21H-index
175Paper Count
2.7KCitation Count
Published Papers 11
Publication Date
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Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2025-07-01
err0
errOAAI
errMontazeri, Mina; Kulkarni, Chetan S.
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Anomaly detection in Li-ion cells using physics-based reduced-order thermal models
errJOURNAL OF POWER SOURCES
IF7.9
err2025-03-01
err0
PREAI
errMehta, Mohit R.; Crowley, Kyle M.; Khasin, Michael; Kulkarni, Chetan S.; Demattia, Brianne; Lawson, John W.
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errSave
Thermal data-driven model reduction for enhanced battery health monitoring
errJOURNAL OF POWER SOURCES
IF7.9
err2024-06-01
err2
PREAI
errKhasin, Michael; Mehta, Mohit R.; Kulkarni, Chetan; Lawson, John W.
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errSave
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2024-03-01
err9
errOAAI
errFernandez, Juan; Chiachio, Juan; Barros, Jose; Chiachio, Manuel; Kulkarni, Chetan S.
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Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries
errCOMPUTERS IN INDUSTRY
IF9.1
err2024-02-01
err2
errOAAI
errFernandez, Juan; Corbetta, Matteo; Kulkarni, Chetan S.; Chiachio, Juan; Chiachio, Manuel
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Ageing-aware battery discharge prediction with deep learning
errAPPLIED ENERGY
IF11
err2023-09-01
err4
errOAAI
errBiggio, Luca; Bendinelli, Tommaso; Kulkarni, Chetan; Fink, Olga
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errSave
A prescriptive Dirichlet power allocation policy with deep reinforcement learning
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2022-08-01
err9
errOAAI
errTian, Yuan; Han, Minghao; Kulkarni, Chetan; Fink, Olga
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errSave
Real-time model calibration with deep reinforcement learning
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2022-02-01
err27
errOAAI
errTian, Yuan; Chao, Manuel Arias; Kulkarni, Chetan; Goebel, Kai; Fink, Olga
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Fusing physics-based and deep learning models for prognostics
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2022-01-01
err183
errOAAI
errChao, Manuel Arias; Kulkarni, Chetan; Goebel, Kai; Fink, Olga
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errSave
Hybrid physics-informed neural networks for lithium-ion battery modeling and prognosis
errJOURNAL OF POWER SOURCES
IF7.9
err2021-11-01
err76
errOAAI
errNascimento, Renato G.; Corbetta, Matteo; Kulkarni, Chetan S.; Viana, Felipe A. C.
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errSave
Exploring Architectures for Integrated Resilience Optimization
errJOURNAL OF AEROSPACE INFORMATION SYSTEMS
IF1.5
err2021-10-01
err2
PREAI
errHulse, Daniel; Biswas, Arpan; Hoyle, Christopher; Tumer, Irem Y.; Kulkarni, Chetan; Goebel, Kai
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
K
Kai Goebel
H-index: 58 · Papers: 453
J
John W. Lawson
H-index: 40 · Papers: 309
O
Olga Fink
H-index: 31 · Papers: 257
F
Felipe Viana
H-index: 29 · Papers: 179
I
Irem Y. Tumer
H-index: 29 · Papers: 284
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