scispace - formally typeset
S

Sanjoy Banerjee

Researcher at City College of New York

Publications -  241
Citations -  9908

Sanjoy Banerjee is an academic researcher from City College of New York. The author has contributed to research in topics: Turbulence & Two-phase flow. The author has an hindex of 52, co-authored 229 publications receiving 8880 citations. Previous affiliations of Sanjoy Banerjee include City University of New York & Atomic Energy of Canada Limited.

Papers
More filters
Journal ArticleDOI

Simulation of a neutron scattering method for measuring void fraction in two-phase flow

TL;DR: In this paper, fast/epithermal neutron scattering techniques are used for void fraction measurement in two-phase flow and Monte Carlo neutron transport calculations are used to predict results in agreement with the measurements.
Journal ArticleDOI

Electroactive ZnO: Mechanisms, Conductivity, and Advances in Zn Alkaline Battery Cycling

TL;DR: In this article , the electrical conductivity of battery-formed ZnO is measured and found to vary by factors of up to 104, which provides a first-principles-based understanding of Zn passivation in industrial alkaline batteries.
Journal ArticleDOI

Nanoscale resolution microchannel flow velocimetry by atomic force microscopy

TL;DR: In this paper, the velocity of a microchannel flow was determined by atomic force microscopy (AFM) using a 50nm wide "whisker", which was partially submerged and scanned transverse to the flow while drag was recorded.
Journal ArticleDOI

Finite amplitude waves in stratified two‐phase flow: Transition to slug flow

TL;DR: In this article, the phase velocities that are calculated to lead to amplification of finite amplitude interfacial waves are well below those based on linear stability criteria, which is in agreement with existing experimental data on transition from stratified to slug flow.
Journal ArticleDOI

Non-equilibrium particle-field simulations of polymer-nanocomposite dynamics

TL;DR: In this paper, a theoretical framework for simulating dynamic processes in polymeric fluids with embedded nanoparticles is presented, which couples an Eulerian, field-theoretic description of polymer hydrodynamics with a Lagrangian technique for tracking particles of arbitrary shape and size.