91 citations · 179 across the 10 of their papers we have counts for
10 papers
Rotating self-gravitating Bose-Einstein condensates with a crust: a minimal model for pulsar glitches
Akhilesh Kumar Verma, Rahul Pandit, Marc E. Brachet
We develop a minimal model for \textit{pulsar glitches} by introducing a solid-crust potential in the three-dimensional (3D) Gross-Pitaevskii-Poisson equation (GPPE), which we have…
The spreading of viruses by airborne aerosols: lessons from a first-passage-time problem for tracers in turbulent flows
Akhilesh Kumar Verma, Akshay Bhatnagar, Dhrubaditya Mitra +1
We study the spreading of viruses, such as SARS-CoV-2, by airborne aerosols, via a new first-passage-time problem for Lagrangian tracers that are advected by a turbulent flow: By d…
The formation of compact objects at finite temperatures in a dark-matter-candidate self-gravitating bosonic system
Akhilesh Kumar Verma, Rahul Pandit, Marc E. Brachet
We study self-gravitating bosonic systems, candidates for dark-matter halos, by carrying out a suite of direct numerical simulations (DNSs) designed to investigate the formation of…
Machine learning strategies for path-planning microswimmers in turbulent flows
Jaya Kumar Alageshan, Akhilesh Kumar Verma, Jérémie Bec +1
We develop an adversarial-reinforcement learning scheme for microswimmers in statistically homogeneous and isotropic turbulent fluid flows, in both two (2D) and three dimensions (3…
The Statistical Properties of Superfluid Turbulence in He from the Hall-Vinen-Bekharevich-Khalatnikov Model
Akhilesh Kumar Verma, Sanjay Shukla, Vishwanath Shukla +2
We obtain the von Kármán-Howarth relation for the stochastically forced three-dimensional Hall-Vinen-Bekharvich-Khalatnikov (3D HVBK) model of superfluid turbulence in Helium (…
A One class Classifier based Framework using SVDD : Application to an Imbalanced Geological Dataset
Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray +2
Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due t…
A Novel Framework based on SVDD to Classify Water Saturation from Seismic Attributes
Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray +2
Water saturation is an important property in reservoir engineering domain. Thus, satisfactory classification of water saturation from seismic attributes is beneficial for reservoir…
Well Tops Guided Prediction of Reservoir Properties using Modular Neural Network Concept A Case Study from Western Onshore, India
Soumi Chaki, Akhilesh K Verma, Aurobinda Routray +2
This paper proposes a complete framework consisting pre-processing, modeling, and post-processing stages to carry out well tops guided prediction of a reservoir property (sand frac…
Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach
Akhilesh K Verma, Soumi Chaki, Aurobinda Routray +2
In this paper, we illustrate the modeling of a reservoir property (sand fraction) from seismic attributes namely seismic impedance, seismic amplitude, and instantaneous frequency u…
Plaquette-triplon analysis of magnetic disorder and order in a trimerized spin-1 Kagomé antiferromagnet
Pratyay Ghosh, Akhilesh Kumar Verma, Brijesh Kumar
A spin-1 Heisenberg model on trimerized Kagomé lattice is studied by doing a low-energy bosonic theory in terms of plaquette-triplons defined on its triangular unit-cells. The mode…