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S

Sankaran Mahadevan

vanderbilt university

78H-index
714Paper Count
2.4WCitation Count
Published Papers 193
Publication Date
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Model calibration and uncertainty quantification of cellular automata-based pitting corrosion model
errComputers & Structures
IF4.8
err2026-01-20
err0
errOAAI
errJ.Ramesh Babu; Pranav M. Karve; Sankaran Mahadevan
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Metal additive manufacturing simulation across length, time, and computing scales
errInternational Materials Reviews
IF15.5
err2025-12-11
err0
PREAI
errAlex Plotkowski; Matt Rolchigo; Gregory Wagner; Samuel Temple Reeve; John Coleman; Gerry Knapp; Lyle Levine; Albert To; Stephen DeWitt; Florian Dugast; Sankaran Mahadevan; Christopher Newman; Benjamin Stump; Matt Bement; John Turner
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Global sensitivity analysis for microstructural features to variability in elemental concentration of additively manufactured alloy 718
errMaterialia
IF2.9
err2025-12-10
err0
PREAI
errHasan Al Jame; Jiayun Shao; Jixuan Dong; Pranav Karve; Kyle Mumm; Bryan A. Webler; Anthony D. Rollett; Sankaran Mahadevan; Tao Sun; S. Mohadeseh Taheri-Mousavi
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Periodic Regression in the Principal Component Space for Multivariate, Multi-Horizon, Probabilistic Forecasting
errJOURNAL OF FORECASTING
IF2.7
err2025-12-01
err0
PREAI
errStover, Oliver; Karve, Pranav; Mahadevan, Sankaran
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Uncertainty Quantification and Reliability Assessment for Intermodal Freight Transportation
errReliability Engineering & System Safety
IF11
err2025-11-23
err0
errOAAI
errJafar Mandouri; Ahmad F. Taha; Hiba Baroud; Craig Philip; Paul Johnson; Sankaran Mahadevan
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errSave
Probabilistic Digital Twin for Damage-Aware Rotorcraft Path-Tracking Optimization Under Uncertainty
errAIAA JOURNAL
IF2.8
err2025-11-01
err0
PREAI
errSisson, William; Karve, Pranav; Mahadevan, Sankaran
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Operational risk quantification of power grids using graph neural network surrogates of the DC optimal power flow
errsustainable energy grids networks
IF0
err2025-06-02
err0
errOAAI
errYadong Zhang; Pranav M. Karve; Sankaran Mahadevan
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errSave
Probabilistic generator contingency assessment for power grids with high renewable penetration
errSUSTAINABLE ENERGY GRIDS & NETWORKS
IF5.6
err2025-06-01
err0
PREAI
errStover, Oliver; Karve, Pranav; Mahadevan, Sankaran
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Probabilistic prediction of external corrosion fatigue life in buried steel pipes
errINTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
IF3.5
err2025-04-01
err0
errOAAI
errBabu, J. Ramesh; Karve, Pranav M.; Mahadevan, Sankaran
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Graph neural networks for power grid operational risk assessment under evolving unit commitment
errAPPLIED ENERGY
IF11
err2025-02-01
err0
PREAI
errZhang, Yadong; Karve, Pranav M.; Mahadevan, Sankaran
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errSave
Influence of strain rate, temperature, and strain-induced martensite on residual stress evolution during tensile deformation of SS 304L (vol 42, 111294, 2025)
errMATERIALS TODAY COMMUNICATIONS
IF4.5
err2025-02-01
err0
PREAI
errLavanya, S.; Mahadevan, S.; Naskar, Subhendu
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errSave
Influence of strain rate, temperature, and strain-induced martensite on residual stress evolution during tensile deformation of SS 304L
errMATERIALS TODAY COMMUNICATIONS
IF4.5
err2025-01-01
err1
PREAI
errLavanya, S.; Mahadevan, S.; Naskar, Subhendu
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errSave
Surrogate modeling of microstructure prediction in additive manufacturing
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2025-01-01
err0
PREAI
errSenthilnathan, Arulmurugan; Nath, Paromita; Mahadevan, Sankaran; Witherell, Paul
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Active learning for adaptive surrogate model improvement in high-dimensional problems
errSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
IF4
err2024-07-10
err1
errOAAI
errGuo, Yulin; Nath, Paromita; Mahadevan, Sankaran; Witherell, Paul
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errSave
Global Sensitivity Analysis-Based Dimension Reduction for Stochastic Unit Commitment
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2024-03-01
err0
PREAI
errStover, Oliver; Karve, Pranav M.; Mahadevan, Sankaran
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Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables
errAPPLIED ENERGY
IF11
err2024-03-01
err1
PREAI
errStover, Oliver; Nath, Paromita; Karve, Pranav; Mahadevan, Sankaran; Baroud, Hiba
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errSave
Calibration, validation, and selection of hydrostatic testing-based remaining useful life prediction models for polyethylene pipes
errINTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
IF3.5
err2024-02-01
err0
PREAI
errDu, Dongjin; Karve, Pranav; Mahadevan, Sankaran
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errSave
Probabilistic physics-informed machine learning for dynamic systems
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2023-02-01
err11
errOAAI
errSubramanian, Abhinav; Mahadevan, Sankaran
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A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives (vol 66, 1, 2022)
errSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
IF4
err2023-01-07
err0
errOAAI
errThelen, Adam; Zhang, Xiaoge; Fink, Olga; Lu, Yan; Ghosh, Sayan; Youn, Byeng D.; Todd, Michael D.; Mahadevan, Sankaran; Hu, Chao; Hu, Zhen
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errSave
Importance sampling for reliability assessment of dynamic systems under general random process excitation
errPROBABILISTIC ENGINEERING MECHANICS
IF3.5
err2023-01-01
err6
errOAAI
errSubramanian, Abhinav; Mahadevan, Sankaran
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errSave

Research Directions

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Co-authors
Cooperation Journals
X
Xin‐She Yang
H-index: 96 · Papers: 712
Y
Yong Deng
H-index: 90 · Papers: 1.3K
H
Hai Yang
H-index: 89 · Papers: 632
F
Felix T.S. Chan
H-index: 86 · Papers: 817
A
Anthony D. Rollett
H-index: 79 · Papers: 625
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