Bi2O2Se nanosheets for dual-mode electrochemical/fluorescence turn-off sensing of ferric ions Amit Kumar Shringi, Rajeev Kumar, Rajneesh Chaurasiya, Justin Lin, Nutifafa Y. Doumon, et al. Nanoscale, 2025 Schematic of a dual electrochemical and fluorescence turn-off sensor based on exfoliated Bi2O2Se nanosheets, enabling highly sensitive, selective, and real-time detection of Fe3+ ions.
Growth of single-crystalline 2D materials for advanced quantum sensing devices Neeraj Goel, Aditya Kushwaha, Manasvi Raj, Aswin A, Rajneesh Chaurasiya, et al. Applied Physics Reviews, 2025 In recent years, two-dimensional (2D) materials have received significant research interest for various potential applications, including quantum sensing, due to their distinct physicochemical properties. The 2D materials provide versatile platform for developing smart sensing devices by employing quantum mechanics beyond classical physics. Quantum sensing offers ultrasensitive detection of various physical quantities. Therefore, in this comprehensive review, we summarize the latest advancements in growth techniques of emerging 2D materials to make them suitable for developing scalable quantum sensing devices. First, we discuss the key 2D materials and associated quantum physics to get a glimpse of their suitability for different applications. Then, we discuss recent breakthroughs in the controlled growth of single crystal 2D materials with lesser defects and homogeneity. Consequently, we discuss the potential applications of quantum sensors in different fields. Finally, we highlight the challenges and limitations associated with the growth of high-quality 2D materials, including scalability, stability, and their integration with existing technology.
Advances in Physics and Chemistry of Transition Metal Dichalcogenide Janus Monolayers: Properties, Applications, and Future Prospects Rajneesh Chaurasiya, Shubham Tyagi, Abhijeet J. Kale, Goutam Kumar Gupta, Rajesh Kumar, et al. Advanced Theory and Simulations, 2025 Janus transition metal dichalcogenides (JTMDs) have garnered significant interest from the scientific community owing to their remarkable physical and chemical features. The existence of intrinsic dipoles makes them different from conventional transition metal dichalcogenides. These properties are useful in various potential applications, including energy storage, energy generation, and other electronic devices. The JTMDs are considered a hot topic in two dimensional (2D) materials research, making it necessary to understand their fundamental properties and potential use in various applications. This review covers the fundamental difference between Janus and conventional transition metal dichalcogenide‐based 2D materials. This discussion encompasses the characteristics of monolayer, bilayer, and multilayer materials, focusing on their structural stability, electronics properties, optical properties, piezoelectricity, and Rashba effects. The impact of external stimuli such as strain and electric field toward engineering the ground state properties of monolayer JTMDs is discussed. Additionally, various potential applications of Janus monolayers, including gas sensors, catalysis, electrochemical energy storage, thermoelectric, solar cells, and field effect transistors, are highlighted, emphasizing enhancing their performance. Finally, the prospects of Janus 2D materials for next‐generation electronic devices are highlighted.
Janus HfSSe monolayer: a promising candidate for SO2 and COCl2 gas sensing Dalip Kumar, Rajesh Kumar, Rajneesh Chaurasiya Nanotechnology, 2024 Janus monolayers based on transition metal dichalcogenides have garnered significant interest as potential materials for nano electronic device applications due to their exceptional physical and electronic properties. In this study, we investigate the stability of the Janus HfSSe monolayer using ab initio molecular dynamics simulations and analyze the electronic properties in its pristine state. We then examine the impact of adsorbing toxic gas molecules (AsH3, COCl2, NH3, NO2, and SO2) on the monolayer’s structure and electronic properties, testing their adsorption on different active sites on top of hafnium, selenium, and sulfur. The sensitivity of the gas molecules is quantified in terms of their adsorption energy, with the highest and lowest energies being observed for SO2 (−0.278 eV) and NO2 (−0.095 eV), respectively. Additionally, we calculate other properties such as recovery time, adsorption height, Bader charge, and charge difference density to determine the sensitivity and selectivity of the toxic gas molecules. Our findings suggest that the Janus HfSSe monolayer has the potential to function as SO2 and COCl2 gas sensor due to its high sensitivity for these two gases.
Exploring the Feasibility of Monoclinic-ZrO2-Based Memristors as Artificial Olfactory Sensors: An Atomistic Simulation Approach Rajneesh Chaurasiya, Kuan‐Ting Chen, Li‐Chung Shih, Ya‐Chi Huang, Jen‐Sue Chen Advanced Theory and Simulations, 2024 Memory devices with sensitivity, selectivity, and operation voltage towards the gases are rarely reported for artificial olfactory sensors. Additionally, there are no reports available on the atomistic aspects of artificial olfactory sensors. This study reports an atomistic simulation of monoclinic‐ZrO2 (m‐ZrO2). The impact of external electric field on the formation of the oxygen vacancies are evaluated by considering the different directions of electric field. Furthermore, it is conducted nudged elastic band calculations which showed a decrease in the migration barrier energy with an increase in the electric field for all considered directions. Moreover, it is simulated the memristor device (Ta/m‐ZrO2/Pt) and investigated the impact of oxygen vacancies on electrical conductivity by considering oxygen vacancies at different locations in m‐ZrO2. Finally, it is evaluated the possibility of using the m‐ZrO2 based memristor device for an artificial olfactory sensor by studying the gas sensing properties of the (111) surface of m‐ZrO2. The pristine structure exhibits low sensitivity towards toxic molecules (CO2, CO, NH3, and NO2), while the sensing performance is significantly enhanced on the oxygen vacancy rich surface. These atomistic simulation results provide an atomic level understanding of the Ta/m‐ZrO2/Pt device and suggest the potential for it to be use as an artificial olfactory sensor.
Quasicrystal Nanosheet/α-Fe2O3 Heterostructure-Based Low Power NO2 Sensors: Experimental and DFT Studies Sumit Kumar, Mirabbos Hojamberdiev, Anyesha Chakraborty, Rahul Mitra, Rajneesh Chaurasiya, et al. ACS Applied Materials and Interfaces, 2024 Industrial emissions, environmental monitoring, and medical fields have put forward huge demands for high-performance and low power consumption sensors. Two-dimensional quasicrystal (2D QC) nanosheets of metallic multicomponent Al70Co10Fe5Ni10Cu5 have emerged as a promising material for gas sensors due to their excellent catalytic and electronic properties. Herein, we demonstrate highly sensitive and selective NO2 sensors developed by low-cost and scalable fabrication techniques using 2D QC nanosheets and α-Fe2O3 nanoparticles. The sensitivity (ΔR/R%) of the optimal amount of 2D QC nanosheet-loaded α-Fe2O3 sensor was 32%, which is significantly larger about 3.5 times than bare α-Fe2O3 sensors for 1 ppm of NO2 at 150 °C operating temperature. The sensors exhibited p-type conduction, and resistance was reduced when exposed to NO2, an oxidizing gas. The enhanced sensing characteristics are a result of the formation of nanoheterojunctions between 2D QC and α-Fe2O3, which improved the charge transport and provided a large sensing signal. In addition, the heterojunction sensor demonstrated excellent NO2 selectivity over other oxidizing and reducing gases. Furthermore, density functional theory calculation examines the adsorption energy and charge transfer between NO2 molecules on the α-Fe2O3(110) and QC/α-Fe2O3(110) heterostructure surfaces, which coincides well with the experimental results.
Unveiling transient current response in bilayer oxide-based physical reservoirs for time-series data analysis Bo-Ru Lai, Kuan-Ting Chen, Rajneesh Chaurasiya, Song-Xian You, Wen-Dung Hsu, et al. Nanoscale, 2024 The proposed memristive device showcases nonlinear current responses and short-term memory behaviors, perfectly functioning as a physical reservoir with the capability to segregate 4-bit input signals and diverse temporal patterns.
Remote Health Monitoring and Alert Network System B. Surya Kranthi Vardhan, K. Praful Ranganath, Rajneesh Chaurasiya Proceedings 2nd IEEE International Conference on Device Intelligence Computing and Communication Technologies Dicct 2024, 2024