2 citations · 2 across the 6 of their papers we have counts for
6 papers
Symmetry Breaking by Interfacial Dead Layers: Observation of Forbidden Self-Induced Spin-Orbit Torque in Symmetric Ferromagnets
Athira Ravindran K, Raghvendra Posti, Manish Kumar Mohanta +8
Conventionally, spin-orbit torques (SOTs) in ferromagnets require heavy-metal layers or engineered structural asymmetry to break inversion symmetry. In this work, we report the obs…
Harnessing Native Chromium Oxidation for Giant Orbital Torque and Field-Free Magnetization Switching in NiFe/Cr Bilayers
Chirag Kalouni, Abhishek Kumar, Manish Kumar Mohanta +6
Orbital currents offer charge-to-spin conversion beyond the efficiency limit of conventional heavy-metal Spin Hall sources. However, harnessing them has so far required either thic…
Room-Temperature Nonlinear Hall Effect in Polycrystalline Magnetic Multilayers
Preet Kamal, Chirag kalouni, Amiya Mondal +5
We report a zero-field nonlinear Hall effect in sputtered polycrystalline Ta/Pt/[Pt/Co/Fe/Ir]/Pt multilayers from 2 to 300 K. Angle-resolved transport reveals macroscopic in-pl…
Reconfigurable Spin Logics and High-density Multistate Memory in a Single Spin-orbit Torque Device
Raghvendra Posti, Dhanajay Tiwari, Debangsu Roy
Nonvolatile devices based on the spin-orbit torque (SOT) mechanism are highly suitable for in-memory logic operations. The current objective is to enhance the memory density of mem…
Correlation of Magnetic State Configurations in Nanotubes with FMR spectrum
Abhishek Kumar, Chirag Kalouni, Raghvendra Posti +3
Magnetic nanotubes have garnered immense attention for their potential in high-density magnetic memory, owing to their stable flux closure configuration and fast, reproducible reve…
Initialization-Free Multistate Memristor: Synergy of Spin-Orbit Torque and Magnetic Fields
Raghvendra Posti, Chirag Kalouni, Dhananjay K Tiwari +1
Spin-orbit torque (SOT)-based perpendicularly magnetized memory devices with multistate memory have garnered significant interest due to their applicability in low-power in-memory…