278 citations · 376 across the 12 of their papers we have counts for
12 papers
Tuning of Electrical, Magnetic, and Topological Properties of Magnetic Weyl Semimetal MnGe by Fe doping
Susanta Ghosh, Achintya Low, Soumya Ghorai +2
We report on the tuning of electrical, magnetic, and topological properties of the magnetic Weyl semimetal (MnGe) by Fe doping at the Mn site, MnFeGe (=0…
Effect of Electron-Phonon Scattering on the Anomalous Hall Conductivity of FeSn: A Kagome Ferromagnetic Metal
Achintya Low, Susanta Ghosh, Soumya Ghorai +1
We report on magnetic and magnetotransport studies of a Kagome ferromagnetic metal, FeSn. Our studies reveal a large anomalous Hall conductivity () in this system, main…
Tuning of topological properties in the strongly correlated antiferromagnet MnSn via Fe doping
Achintya Low, Susanta Ghosh, Susmita Changdar +3
Magnetic topological materials, in which strong correlations between magnetic and electronic properties of matter, give rise to various exotic phenomena such as anomalous Hall effe…
Magnetocrystalline Anisotropy and Magnetocaloric Effect Studies on the Room-temperature 2D Ferromagnetic CrTe
Shubham Purwar, Susmita Changdar, Susanta Ghosh +1
We present a thorough study on the magnetoanisotropic properties and magnetocaloric effect in the layered ferromagnetic CrTe single crystals by performing the critical beha…
Effect on the Electronic and Magnetic Properties of Antiferromagnetic Topological Insulator MnBiTe with Sn Doping
Susmita Changdar, Susanta Ghosh, Kritika Vijay +6
We thoroughly investigate the effect of nonmagnetic Sn doping on the electronic and magnetic properties of antiferromagnetic topological insulator MnBiTe. We observe that S…
An Atomistic-based Finite Deformation Continuum Membrane Model for Monolayer Transition Metal Dichalcogenides
Upendra Yadav, Susanta Ghosh
A finite-deformation crystal-elasticity membrane model for Transition Metal Dichalcogenide (TMD) monolayers is presented. Monolayer TMDs are multi-atom-thick two-dimensional (2D) c…
Machine learning based prediction of the electronic structure of quasi-one-dimensional materials under strain
Shashank Pathrudkar, Hsuan Ming Yu, Susanta Ghosh +1
We present a machine learning based model that can predict the electronic structure of quasi-one-dimensional materials while they are subjected to deformation modes such as torsion…
Experimental Realization of Room Temperature Topological Hall Effect in Kagome Antiferromagnet
Achintya Low, Susanta Ghosh, Sayan Routh +1
Magnetic topological semimetals are the manifestations of interplay between electronic and magnetic phases of the matter, leading to peculiar characteristics such as the anomalous…
A Physics Informed Neural Network for Time-Dependent Nonlinear and Higher Order Partial Differential Equations
Revanth Mattey, Susanta Ghosh
A physics informed neural network (PINN) incorporates the physics of a system by satisfying its boundary value problem through a neural network's loss function. The PINN approach h…
An Interpretable Machine Learning Model for Deformation of Multi-Walled Carbon Nanotubes
Upendra yadav, Shashank Pathrudkar, Susanta Ghosh
We present a novel interpretable machine learning model to accurately predict complex rippling deformations of Multi-Walled Carbon Nanotubes(MWCNTs) made of millions of atoms. Atom…
Thin-shell theory based analysis of radially pressurized multiwall carbon nanotubes
Hiroyuki Shima, Susanta Ghosh, Marino Arroyo +2
Elastic radial deformation of multiwall carbon nanotubes (MWNTs) under hydrostatic pressure is investigated within the continuum elastic approximation. The thin-shell theory, with…
Diverse corrugation pattern in radially shrinking carbon nanotubes
Hiroyuki Shima, Motohito Sato, Kohtaroh Iiboshi +2
Stable cross-sections of multi-walled carbon nanotubes subjected to electron-beam irradiation are investigated in the realm of the continuum mechanics approximation. The self-heali…