Search Results - Sastry, M.I.S

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  1. 1
    Direct estimation of shale oil potential by the structural insight of Indian origin kerogen

    Direct estimation of shale oil potential by the structural insight of Indian origin kerogen by Bansal, Veena R., Kumar, Ravindra, Sastry, M.I.S., Badhe, R.M., Kapur, G.S., Saxena, Deepak

    Published in Fuel (Guildford)
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  2. 2
    Low level detection of Benzene in Food Grade Hexane by Ultraviolet Spectrophotometry

    Low level detection of Benzene in Food Grade Hexane by Ultraviolet Spectrophotometry by Emmandi, R., Sastry, M.I.S., Patel, M.B.

    Published in Food chemistry
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  3. 3
    Modified method for hydrocarbon type analysis of blended base stocks by infrared spectroscopy

    Modified method for hydrocarbon type analysis of blended base stocks by infrared spectroscopy by Sastry, M.I.S., Mukherjee, Suman, Kapur, G.S., Sarpal, A.S., Jain, S.K., Srivastava, S.P.

    Published in Fuel (Guildford)
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  4. 4
    Establishing structure–property correlations and classification of base oils using statistical techniques and artificial neural networks

    Establishing structure–property correlations and classification of base oils using statistical techniques and artificial neural networks by Kapur, G.S, Sastry, M.I.S, Jaiswal, A.K, Sarpal, A.S

    Published in Analytica chimica acta
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  5. 5
    Derivative analysis of Raman spectra of liquid water in the OH (D) stretching region

    Derivative analysis of Raman spectra of liquid water in the OH (D) stretching region by Sastry, M.I.S., Singh, Surjit

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  6. 6
    Molecular dynamic studies of lubricant related systems : variable temperature IR spectroscopic studies

    Molecular dynamic studies of lubricant related systems : variable temperature IR spectroscopic studies by SASTRY, M. I. S, MUKHERJEE, S, SARPAL, A. S

    Published in Fuel (Guildford)
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  7. 7
    Prediction of biodegradability of mineral base oils from chemical composition using artificial neural networks

    Prediction of biodegradability of mineral base oils from chemical composition using artificial neural networks by Basu, B, Singh, M.P, Kapur, G.S, Ali, Nazakat, Sastry, M.I.S, Jain, S.K, Srivastava, S.P, Bhatnagar, A.K

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