Search Results - Nicuşan, A L

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  1. 1
    Positron emission particle tracking using machine learning

    Positron emission particle tracking using machine learning by Nicuşan, A. L., Windows-Yule, C. R. K.

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  2. 2
    Recent advances in positron emission particle tracking: a comparative review

    Recent advances in positron emission particle tracking: a comparative review by Windows-Yule, C R K, Herald, M T, Nicuşan, A L, Wiggins, C S, Pratx, G, Manger, S, Odo, A E, Leadbeater, T, Pellico, J, de Rosales, R T M, Renaud, A, Govender, I, Carasik, L B, Ruggles, A E, Kokalova-Wheldon, Tz, Seville, J P K, Parker, D J

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  3. 3
    Using AI/ML to predict blending performance and process sensitivity for Continuous Direct Compression (CDC)

    Using AI/ML to predict blending performance and process sensitivity for Continuous Direct Compression (CDC) by Jones-Salkey, O., Windows-Yule, C.R.K., Ingram, A., Stahler, L., Nicusan, A.L., Clifford, S., Martin de Juan, L., Reynolds, G.K.

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  4. 4
    Application of Positron Emission Particle Tracking (PEPT) for the evaluation of powder behaviour in an incline linear blender for Continuous Direct Compression (CDC)

    Application of Positron Emission Particle Tracking (PEPT) for the evaluation of powder behaviour in an incline linear blender for Continuous Direct Compression (CDC) by Jones-Salkey, O., Nicusan, A.L., Windows-Yule, C.R.K., Ingram, A., Werner, D., Clifford, S., Reynolds, G.K.

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  5. 5
    The sensitivity of powder characterization tool measurements to particle properties

    The sensitivity of powder characterization tool measurements to particle properties by Jenkins, B.D., Nicuşan, A.L., Neveu, A., Lumay, G., Francqui, F., Seville, J.P.K., Weston, D., Werner, D., Windows-Yule, C.R.K.

    Published in Powder technology
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  6. 6
    On the autonomous validation and comparison of particle models for a Newtonian laminar flow mixing model using PEPT

    On the autonomous validation and comparison of particle models for a Newtonian laminar flow mixing model using PEPT by Hart-Villamil, Roberto, Ingram, Andy, Windows-Yule, Christopher, Gupta, Santoshkumar, Nicuşan, Andrei L.

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  7. 7
    A multidisciplinary perspective on the present and future of particle imaging

    A multidisciplinary perspective on the present and future of particle imaging by Windows-Yule, Christopher R.K., Buist, Kay A., Taghizadeh, Kia, Finotello, Giulia, Nicuşan, Andrei L.

    Published in Particuology
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  8. 8
    Effect of cylinder wall parameters on the final packing density of mono-disperse spheres subject to three-dimensional vibrations

    Effect of cylinder wall parameters on the final packing density of mono-disperse spheres subject to three-dimensional vibrations by Grogan, Jack R., Nicuşan, Andrei L., Windows-Yule, Christopher R.K.

    Published in Particuology
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  9. 9
    Predicting tablet properties using In-Line measurements and evolutionary equation Discovery: A high shear wet granulation study

    Predicting tablet properties using In-Line measurements and evolutionary equation Discovery: A high shear wet granulation study by Munu, Issa, Nicusan, Andrei L., Crooks, Jason, Pitt, Kendal, Windows-Yule, Christopher, Ingram, Andrew

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