45 citations · 65 across the 9 of their papers we have counts for
10 papers
Unlocking reversible and nonvolatile anomalous valley Hall control through multiferroic van der Waals heterostructures
Ankita Phutela, Saswata Bhattacharya
Achieving external control over the anomalous valley Hall (AVH) effect is essential for advancing valleytronic applications. However, many of the existing approaches suffer from li…
Inducing Spin Splitting and Anomalous Valley Hall Effect in A-Type AFM FeC(OH) through Electric Field and Janus Engineering
Ankita Phutela, Saswata Bhattacharya
The antiferromagnetic (AFM) materials are distinguished by zero net magnetic moment, high resistance to external magnetic disturbances, and ultrafast dynamic responses. For advanci…
Enhanced room temperature ferromagnetism in nanostructured MoS2 flakes by hydrogen post-treatment: Combined experimental and first-principles-based studies
Sharmistha Dey, Ankita Phutela, Saswata Bhattacharya +3
We meticulously study the individual effects of hydrogen irradiation and annealing on the electronic structure and magnetic properties of nanostructured MoS2 thin films grown throu…
Synergetic effect of edge states and point defects to tune ferromagnetism in CVD-grown vertical nanostructured MoS2: A correlation between electronic structure and theoretical study
Sharmistha Dey, Pankaj Srivastava, Ankita Phutela +3
Room-temperature ferromagnetism (RTFM) exhibited by nanostructured two-dimensional semiconductors for spintronics applications is a fascinating area of research. The present work r…
Probing switchable valley-related Hall effects in 2D magnetic MXenes
Ankita Phutela, Sajjan Sheoran, Saswata Bhattacharya
The search for two-dimensional materials with exotic valley-dependent properties has attracted rapid attention as they are fundamentally intriguing and practically appealing for na…
Accelerated Neural Network Training through Dimensionality Reduction for High-Throughput Screening of Topological Materials
Ruman Moulik, Ankita Phutela, Sajjan Sheoran +1
Machine Learning facilitates building a large variety of models, starting from elementary linear regression models to very complex neural networks. Neural networks are currently li…
Strain-driven topological quantum phase transition in the family of halide perovskites
Ankita Phutela, Sajjan Shoeran, Saswata Bhattacharya
The centrosymmetric halide perovskites undergo a continuous phase transition from a normal insulator to a topological insulator at the critical value of strain. Contrarily, in nonc…
Manipulation of valley and spin properties in two-dimensional Janus WSiGeZ (Z=N,P, As) through symmetry control
Sajjan Sheoran, Ankita Phutela, Ruman Moullik +1
A class of septuple-atomic-layer two-dimensional (2D) materials, MAZ, is sought as an alternative to 2D hexagonal transition metal dichalcogenides in the field of valleytro…
Coupled spin-valley, Rashba effect and hidden persistent spin polarization in WSiN family
Sajjan Sheoran, Deepika Gill, Ankita Phutela +1
The new two-dimensional materials, MoSiN and WSiN are experimentally synthesized successfully and various similar structures are predicted theoretically. Here, we r…
Exploring strong and weak topological states on isostructural substitutions in TlBiSe2
Ankita Phutela, Preeti Bhumla, Manjari Jain +1
Topological Insulators (TIs) are unique materials where insulating bulk hosts linearly dispersing surface states protected by the Time-Reversal Symmetry (TRS). These states lead to…