206 citations · 819 across the 79 of their papers we have counts for
8 papers · 2 filters
Local Symmetry Breaking in Skyrmion-Hosting Centrosymmetric Hexagonal Compounds
Anupam K. Singh, Krishna K. Dubey, Parul Devi +10
Dzyaloshinskii-Moriya interaction (DMI) plays a crucial role in stabilizing the exotic topologically stable skyrmion spin textures in the noncentrosymmetric crystals. The recent di…
Enhancement of spin Hall angle by an order of magnitude via Cu intercalation in MoS/CoFeB heterostructures
Abhisek Mishra, Pritam Das, Rupalipriyadarsini Chhatoi +7
Transition metal dichalcogenides (TMDs) are a novel class of quantum materials with significant potential in spintronics, optoelectronics, valleytronics, and opto-valleytronics. TM…
Origin of unexpected weak Gilbert damping in the LSMO/Pt bilayer system
Pritam Das, Pushpendra Gupta, Seung-Cheol Lee +2
This study presents a first-principles and semiclassical analysis of the puzzling observation that a LaSrMnO (LSMO) thin film exhibits larger Gilbert damping th…
Magnetization dynamics in skyrmions due to high-speed carrier injections from Dirac half-metals
Satadeep Bhattacharjee, Seung-Cheol Lee
Recent developments in the magnetization dynamics in spin textures, particularly skyrmions, offer promising new directions for magnetic storage technologies and spintronics. Skyrmi…
Controlling Moisture for Enhanced Ozone Decomposition: A Study of Water Effects on CeO Surfaces and Catalytic Activity
Suchitra Gupta, Joon Hwan Choi, Hojin Jeong +2
This study investigates the catalytic degradation of ground-level ozone on low-index stoichiometric and reduced CeO surfaces using first-principles calculations. The presence o…
Tuning the Electronic and Magnetic Properties of Double Transition Metal MCrCT (M = Ti, Mo) Janus MXenes for Enhanced Spintronics and Nanoelectronics
Swetarekha Ram, Namitha Anna Koshi, Seung-Cheol Lee +1
Janus MXenes, a new category of two-dimensional (2D) materials, shows promising potential for advances in optoelectronics, spintronics and nanoelectronics. Our theoretical investig…
A Hybrid Machine Learning Framework for Predicting Hydrogen Storage Capacities in Metal Hydrides: Unsupervised Feature Learning with Deep Neural Networks
Satadeep Bhattacharjee, Pritam Das, Swetarekha Ram +1
In this study, we present a sophisticated hybrid machine-learning framework that significantly improves the accuracy of predicting hydrogen storage capacities in metal hydrides. Th…
Calculation of Gilbert damping and magnetic moment of inertia using torque-torque correlation model within ab initio Wannier framework
Robin Bajaj, Seung-Cheol Lee, H. R. Krishnamurthy +2
Magnetization dynamics in magnetic materials are well described by the modified semiclassical Landau-Lifshitz-Gilbert (LLG) equation, which includes the magnetic damping and th…