Nichith Chandrasekaran

Prediction of Detonation Velocity and N−O Composition of High Energy C−H−N−O Explosives by Means of Artificial Neural Networks

Nichith Chandrasekaran, Charlie Oommen, V. R. Sanal Kumar et al. · Propellants Explosives Pyrotechnics · 2019 · 55 citations · Full text

Engineering, Machine Learning, Blasting +19

RETRACTED: A closed-form analytical model for predicting 3D boundary layer displacement thickness for the validation of viscous flow solvers

V. R. Sanal Kumar, Vigneshwaran Sankar, Nichith Chandrasekaran et al. · AIP Advances · 2018 · 47 citations · Full text

RETRACTED: The theoretical prediction of the boundary-layer-blockage and external flow choking at moving aircraft in ground effects

V. R. Sanal Kumar, Vignesh Saravanan, Vivek Srinivasan et al. · Physics of Fluids · 2021 · 25 citations

RETRACTED: Universal benchmark data of the three-dimensional boundary layer blockage and average friction coefficient for <i>in silico</i> code verification

V. R. Sanal Kumar, Vigneshwaran Sankar, Nichith Chandrasekaran et al. · Physics of Fluids · 2022 · 22 citations

Boundary layer Blockage, Venturi Effect and Cavitation Causing Aerodynamic Choking and Shock Waves in Human Artery Leading to Hemorrhage and Massive Heart Attack – A New Perspective

VR Sanal Kumar, Vigneshwaran Sankar, Nichith Chandrasekaran et al. · 2018 Applied Aerodynamics Conference · 2018 · 22 citations

Cardiogenic Shock, Engineering, Cardiovascular Disease +12