Sourav Sahoo

ORCID: 0000-0003-0207-5682
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Research Areas
  • Magnetic properties of thin films
  • Multiferroics and related materials
  • Magnetic Properties and Applications
  • Theoretical and Computational Physics
  • ZnO doping and properties
  • Advanced Condensed Matter Physics
  • Advanced Bandit Algorithms Research
  • Advanced Memory and Neural Computing
  • Heusler alloys: electronic and magnetic properties
  • Quantum and electron transport phenomena
  • Magneto-Optical Properties and Applications
  • Magnetic and transport properties of perovskites and related materials
  • Solar Radiation and Photovoltaics
  • Characterization and Applications of Magnetic Nanoparticles
  • Metallic Glasses and Amorphous Alloys
  • Big Data and Business Intelligence
  • Reinforcement Learning in Robotics
  • Expert finding and Q&A systems
  • Islanding Detection in Power Systems
  • Machine Learning and Algorithms
  • Photovoltaic System Optimization Techniques
  • Graphene research and applications
  • Mechanical and Optical Resonators
  • Energy Load and Power Forecasting
  • Physics of Superconductivity and Magnetism

S.N. Bose National Centre for Basic Sciences
2016-2024

ETH Zurich
2023

Paul Scherrer Institute
2023

National Institute of Technology Delhi
2022

KIIT University
2021

Abstract Interfacial Dzyaloshinskii-Moriya interaction (IDMI) is important for its roles in stabilizing the skyrmionic lattice as well soliton-like domain wall motion leading towards new generation spintronic devices. However, achievement and detection of IDMI often hindered by various spurious effects. Here, we demonstrate occurrence originating primarily from W/CoFeB interface technologically W/CoFeB/SiO 2 heterostructures using Brillouin light scattering technique. Due to presence IDMI,...

10.1038/srep32592 article EN cc-by Scientific Reports 2016-09-02

Harnessing high-frequency spin dynamics in three-dimensional (3D) nanostructures may lead to paradigm-shifting, next generation devices including high density spintronics and neuromorphic systems. Despite remarkable progress fabrication, the measurement interpretation of complex 3D structures remain exceptionally challenging. Here we take a first step measure coherent waves within artificial ice (ASI) structure using Brillouin light scattering. The 3D-ASI was fabricated by combination...

10.1021/acs.nanolett.1c00650 article EN cc-by Nano Letters 2021-05-28

Time resolved measurement and numerical study of ultrafast spin dynamics in a 3D Co tetrapod structure revealed complex spin-wave modes.

10.1039/c7nr07843a article EN cc-by Nanoscale 2018-01-01

Magnetoelastic (or "straintronic") switching has emerged as an extremely energy-efficient mechanism for the magnetization of magnetostrictive nanomagnets in magnetic memory and logic, non-Boolean circuits. Here, we investigate ultrafast magnetodynamics associated with straintronic a single quasielliptical Co nanomagnet deposited on piezoelectric Pb(Mg1/3Nb2/3)O3–PbTiO3 substrate using time-resolved magneto-optical Kerr effect (TR-MOKE) measurements. The pulsed laser pump beam TR-MOKE plays...

10.1021/acsami.8b19243 article EN ACS Applied Materials & Interfaces 2018-11-23

We report microwave-power-driven strong magnon-magnon coupling in $\mathrm{N}{\mathrm{i}}_{80}\mathrm{F}{\mathrm{e}}_{20}$ nanocross array with large anticrossing gaps up to 1.03 GHz. also observe microwave-driven nonlinear shift ferromagnetic resonance (FMR) frequency its sign dependent on the strength of bias magnetic field. A drastic enhancement inter-nanocross-dynamic dipolar interaction results anticrossing, while variation internal spin texture leads FMR shift. The tunable and...

10.1103/physrevb.101.054406 article EN Physical review. B./Physical review. B 2020-02-04

Nanomagnets form the building blocks for a gamut of miniaturized energy-efficient devices including data storage, memory, wave-based computing, sensors and biomedical devices. They also offer span exotic phenomena stern challenges. The progress in magnetization dynamics single nanomagnets one- two-dimensional arrays nanostructures dots, antidots, nanoparticles, binary bicomponent structures patterned multilayers have been presented. Progress unconventional new like artificial spin ice...

10.1063/5.0023993 article EN Journal of Applied Physics 2020-11-05

Magneto-elastic (straintronic) switching of bistable magnetostrictive nanomagnets is an extremely energy-efficient methodology for (magnetic) binary switches that has recently attracted widespread attention because its potential application in ultra-low-power digital computing hardware. Unfortunately, this modality also error very prone at room temperature. Theoretical studies probability magneto-elastic have predicted probabilities ranging from 10E-8-10E-3 temperature ideal, defect-free...

10.1103/physrevapplied.12.034010 article EN publisher-specific-oa Physical Review Applied 2019-09-06

We have theoretically studied how resonant spin wave modes in an elliptical nanomagnet are affected by fabrication defects, such as small local thickness variations. Our results indicate that defects of this nature, which can easily result from the process, or sometimes deliberately introduced during will significantly alter frequencies, magnetic field dependence and power phase profiles modes. They also spawn new quench existing ones. All has important ramifications for multi-device...

10.1038/s41598-019-53244-9 article EN cc-by Scientific Reports 2019-11-12

The quest for quantum phenomena in unconventional materials has led to the development of myriad unique systems. Because their unusual atomic-scale interface properties and controllability, graphene/ferromagnet heterostructures have emerged as a strong contender next-generation spintronics. Further demands superior correlation between different microscopic mechanisms involved. Herein, we demonstrate interfacial Dzyaloshinskii–Moriya interaction (iDMI) single-layer graphene/CoFeB/SiO2 from...

10.1021/acsanm.2c00098 article EN ACS Applied Nano Materials 2022-03-21

Abstract Ferromagnetic nanostripes have gained massive attention due to their intriguing magnetic properties associated with dimensional confinements and shape anisotropy leading toward potential applications in storage, memory, spin‐wave‐based devices. Consequently, reconfiguration of static dynamic by the geometric parameters external field is imperative. Here, a combined experimental numerical study reconfigurable spin‐wave dynamics arrays ferromagnetic stripe thickness strength...

10.1002/admi.202201333 article EN Advanced Materials Interfaces 2022-08-10

Ferromagnetic antidot arrays have emerged as a system of tremendous interest due to their interesting spin configuration and dynamics well potential applications in magnetic storage, memory, logic, communications sensing devices. Here, we report experimental numerical investigation ultrafast magnetization new type lattice the form triangular-shaped Ni 80 Fe 20 antidots arranged hexagonal array. Time-resolved magneto-optical Kerr effect micromagnetic simulations been exploited study...

10.3762/bjnano.9.104 article EN cc-by Beilstein Journal of Nanotechnology 2018-04-09

Understanding the magnetization dynamics in lattices of antidots (holes, rather than bumps) is interesting for applications spintronics and data-storage technology. Magnetic antidot have potential as magnetophotonic crystals, due to their higher spin-wave velocities (steeper dispersion), compared dot arrays. This study shows that, by tuning shapes holes (and hence anisotropy) arrays, one can control spectra engineer domain structure a thin film Co${}_{2}$Fe${}_{0.4}$Mn${}_{0.6}$Si. work...

10.1103/physrevapplied.12.014043 article EN Physical Review Applied 2019-07-24

The paper presents the solar energy prediction using ANN in order to effectively predict irradiance. With increasing interest scope for renewable energy, many countries are adopting new technologies of photovoltaic which has higher resource potential. If advance 24 hours, irradiance can be predicted, then it would help us immensely optimize production efficiency. Traditional methods were used involved empirical, analytical, and physics-based models, statistical forecasting data, numerical...

10.1109/iciccsp53532.2022.9862494 article EN 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) 2022-07-21

Abstract 2D van der Waals (vdW) magnets are the incentive for a new era of spintronics research with unprecedented opportunities. Hitherto, maximum on vdW is restricted by cryogenic temperature due to inability retain long‐range magnetic order at room temperature. The present study demonstrates emergence spin dynamics in association phonon chemically exfoliated Fe x GeTe 2 ( = 3,4,5) flakes employing time‐resolved magneto‐optical Kerr effect microscope. highly intense femtosecond laser pulse...

10.1002/adfm.202418006 article EN Advanced Functional Materials 2024-11-27

Metamaterials, fabricated by assembling different compounds at the nanoscale, can have properties not found in naturally occurring materials, and therefore offer new avenues to develop novel devices. In realm of spintronics, where spin electrons is used extend capabilities electronic devices, quest for such functional materials has expanded towards magnetic oxides. Here, finding methods control their anisotropy crucial achieve higher memory density longer stability. order address this...

10.1103/physrevb.108.104426 article EN Physical review. B./Physical review. B 2023-09-28

Materials suitable for magnonic crystals demand low magnetic damping and long spin wave (SW) propagation distance. In this context Co based Heusler compounds are ideal candidates applications. work, antidot arrays (with different shapes) of epitaxial $\mathrm{Co}_2\mathrm{Fe}_{0.4}\mathrm{Mn}_{0.6}\mathrm{Si}$ (CFMS) alloy thin films have been prepared using e-beam lithography sputtering technique. Magneto-optic Kerr effect ferromagnetic resonance analysis confirmed the presence dominant...

10.48550/arxiv.1907.02746 preprint EN other-oa arXiv (Cornell University) 2019-01-01

We revisit the classic problem of optimal subset selection in online learning set-up. Assume that set $[N]$ consists $N$ distinct elements. On $t$th round, an adversary chooses a monotone reward function $f_t: 2^{[N]} \to \mathbb{R}_+$ assigns non-negative to each $[N].$ An policy selects (perhaps randomly) $S_t \subseteq [N]$ consisting $k$ elements before $f_t$ for round is revealed learner. As consequence its choice, receives $f_t(S_t)$ on round. Our goal design sequential maximize...

10.48550/arxiv.2209.14222 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01
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