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19922026
most citedSmall-world properties of the Indian Railway network

596 citations

Showing 2020 · cond-mat.mtrl-sciShow all

9 papers · 2 filters

cond-mat.mtrl-sci2020★ 7 cited

Topological transitions to Weyl states in bulk BiSe: Effect of hydrostatic pressure and doping

Sudip Kumar Saha, Hrishit Banerjee, Manoranjan Kumar

BiSe, a layered three dimensional (3D) material, exhibits topological insulating properties due to presence of surface states and a band gap of 0.3 eV in the bulk. We study…

cond-mat.mtrl-sci2020★ 11 cited

Effective separation of photogenerated electron-hole pairs by radial field facilitates ultrahigh photoresponse in single semiconductor nanowire photodetectors

Shaili Sett, Arup Kumar Raychaudhuri

We report an investigation on the observation of ultrahigh photoresponse (photogain, G_Pc>106) in single nanowire photodetectors of diameter < 100 nm. The investigation which is a…

cond-mat.mtrl-sci2020★ 1 cited

Structural Phase Dependent Giant Interfacial Spin Transparency in W/CoFeB Thin Film Heterostructure

Surya Narayan Panda, Sudip Majumder, Arpan Bhattacharyya +3

Pure spin current has transfigured the energy-efficient spintronic devices and it has the salient characteristic of transport of the spin angular momentum. Spin pumping is a potent…

cond-mat.mtrl-sci2020★ 37 cited

Signatures of a spin-1/2 cooperative paramagnet in the diluted triangular lattice of YCuTiO

S. Kundu, Akmal Hossain, Pranava Keerthi S +11

We present a combination of thermodynamic and dynamic experimental signatures of a disorder driven dynamic cooperative paramagnet in a 50% site diluted triangular lattice spin-1/2…

cond-mat.mtrl-sci2020★ 16 cited

Experimental Evidence of Stable 2 Phase on the Surface of Layered 1-TaTe

Indrani Kar, Kapildeb Dolui, Luminita Harnagea +6

We report on the low-energy electronic structure of Tantalum ditelluride (1-TaTe), one of the charge density wave (CDW) materials from the group V transition metal dichalco…

cond-mat.mtrl-sci2020★ 19 cited

Prediction on Properties of Rare-earth 2-17-X Magnets Ce2Fe17-xCoxCN : A Combined Machine-learning and Ab-initio Study

Anita Halder, Samir Rom, Aishwaryo Ghosh +1

We employ a combination of machine learning and first-principles calculations to predict magnetic properties of rare-earth lean magnets. For this purpose, based on training set con…