Search Results - Kolake, Subramanya M.

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  1. 1
    A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

    A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation by Patil, Meru A., Tagade, Piyush, Hariharan, Krishnan S., Kolake, Subramanya M., Song, Taewon, Yeo, Taejung, Doo, Seokgwang

    Published in Applied energy
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  2. 2
    MoS2 Quantum Dots: Effect of Hydrogenation on Surface Stability and H2S Release

    MoS2 Quantum Dots: Effect of Hydrogenation on Surface Stability and H2S Release by Shinde, Prashant P, Adiga, Shashishekar P, Pandian, Shanthi, Ramachandran, Sanoop, Hariharan, Krishnan S, Kolake, Subramanya M

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  3. 3
    Functionalized ionic liquids as electrolytes for lithium-ion batteries

    Functionalized ionic liquids as electrolytes for lithium-ion batteries by Pandian, Shanthi, Raju, S.G., Hariharan, Krishnan S., Kolake, Subramanya M., Park, Da-Hye, Lee, Myung-Jin

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  4. 4
    Accessing the current limits in lithium ion batteries: Analysis of propensity for unexpected power loss as a function of depth of discharge, temperature and pulse duration

    Accessing the current limits in lithium ion batteries: Analysis of propensity for unexpected power loss as a function of depth of discharge, temperature and pulse duration by Bharathraj, Sagar, Kaushik, Anshul, Adiga, Shashishekar P., Kolake, Subramanya M., Song, Taewon, Sung, Younghun

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  5. 5
    MoS 2 Quantum Dots: Effect of Hydrogenation on Surface Stability and H 2 S Release

    MoS 2 Quantum Dots: Effect of Hydrogenation on Surface Stability and H 2 S Release by Shinde, Prashant P., Adiga, Shashishekar P., Pandian, Shanthi, Ramachandran, Sanoop, Hariharan, Krishnan S., Kolake, Subramanya M.

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  6. 6
    On-Board State Estimation in Electrical Vehicles: Achieving Accuracy and Computational Efficiency Through an Electrochemical Model

    On-Board State Estimation in Electrical Vehicles: Achieving Accuracy and Computational Efficiency Through an Electrochemical Model by Verma, M. K. S., Basu, Suman, Patil, Rajkumar S., Hariharan, Krishnan S., Adiga, Shashishekar P., Kolake, Subramanya Mayya, Oh, Dukjin, Song, Taewon, Sung, Younghun

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  7. 7
    Attribute driven inverse materials design using deep learning Bayesian framework

    Attribute driven inverse materials design using deep learning Bayesian framework by Tagade, Piyush M., Adiga, Shashishekar P., Pandian, Shanthi, Park, Min Sik, Hariharan, Krishnan S., Kolake, Subramanya Mayya

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  8. 8
    A Strain-Diffusion Coupled Electrochemical Model for Lithium-Ion Battery

    A Strain-Diffusion Coupled Electrochemical Model for Lithium-Ion Battery by Verma, M. K. S., Basu, Suman, Hariharan, Krishnan S., Kolake, Subramanya Mayya, Song, Taewon, Jeon, Jinyong

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  9. 9
    Empirical Relationship between Chemical Structure and Redox Properties: Mathematical Expressions Connecting Structural Features to Energies of Frontier Orbitals and Redox Potentials for Organic Molecules

    Empirical Relationship between Chemical Structure and Redox Properties: Mathematical Expressions Connecting Structural Features to Energies of Frontier Orbitals and Redox Potential... by Tagade, Piyush M, Adiga, Shashishekar P, Park, Min Sik, Pandian, Shanthi, Hariharan, Krishnan S, Kolake, Subramanya Mayya

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