Kranti Kumar
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View article: Valence fluctuations in Co-doped FeSn antiferromagnetic kagome semimetal
Valence fluctuations in Co-doped FeSn antiferromagnetic kagome semimetal Open
Valence fluctuations arising from quantum phenomena in the magnetic kagome lattice offer a unique platform to study the instabilities in charge configuration associated with magnetic interactions. Here, we report the evidence of valence fl…
View article: A comprehensive review of machine learning applications for internet of nano things: challenges and future directions
A comprehensive review of machine learning applications for internet of nano things: challenges and future directions Open
In recent years, advances in nanotechnology and the Internet of Things (IoT) have led to the development of the revolutionary Internet of Nano Things (IoNT). IoNT, has found very similar real-life applications in agriculture, military, mul…
View article: A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications
A Robust Image Encryption Protocol for Secure Data Sharing in Brain Computer Interface Applications Open
Brain-computer interface (BCI) technology has emerged as a transformative means to link human neural activity with electronic devices. BCIs, which facilitate bidirectional communication between the brain and computers, are categorized as i…
View article: Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions
Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions Open
Quantum computing and machine learning (ML) have received significant developments which have set the stage for the next frontier of creative work and usefulness. This paper aims at reviewing various data-encoding techniques in Quantum Mac…
View article: A new car following model based on weighted average velocity field
A new car following model based on weighted average velocity field Open
In real traffic, the motion status of forward moving vehicles play an important role in influencing the following vehicle’s motion behaviour. Nowadays, autonomous and electric vehicles have been incorporated with car-following mode when th…
View article: Performance Prediction of Eco-Friendly Concrete with Artificial Neural Networks (ANNs)
Performance Prediction of Eco-Friendly Concrete with Artificial Neural Networks (ANNs) Open
Concrete is renowned for its durability and versatility in construction, making it essential for global infrastructure development. Its extensive use contributes significantly to carbon emissions and environmental harm. In response, eco-fr…
View article: A Hybrid Deep Learning Method for Short-Term Traffic Flow Forecasting: GSA-LSTM
A Hybrid Deep Learning Method for Short-Term Traffic Flow Forecasting: GSA-LSTM Open
<h2>Abstract</h2>\n<p><strong>Objectives:</strong> The main objective of this study is to improve the accuracy and reliability of the short-term traffic flow forecasting method, while simultaneously addre…
View article: Analytical solution of local fractal continuum traffic flow model
Analytical solution of local fractal continuum traffic flow model Open
This study developed a continuum traffic flow model with local fractional derivatives. This model overcomes the non-differentiable traffic parameters arising in vehicular traffic flow. The proposed model is solved using the local fractiona…
View article: Coexistence of spin liquid state and magnetic correlations in 3<i>d</i>-5<i>d</i> based triangular-lattice antiferromagnet Sr<sub>3</sub>CuIr<sub>2</sub>O<sub>9</sub>
Coexistence of spin liquid state and magnetic correlations in 3<i>d</i>-5<i>d</i> based triangular-lattice antiferromagnet Sr<sub>3</sub>CuIr<sub>2</sub>O<sub>9</sub> Open
Here, we report detailed lattice structure, magnetization (dc and ac) and specific heat measurements on a 3 d -5 d based new triple-perovskite material Sr 3 CuIr 2 O 9 . The Sr/Cu forms a layered structure of triangular-lattice while the I…
View article: Artificial neural network for solving the nonlinear singular fractional differential equations
Artificial neural network for solving the nonlinear singular fractional differential equations Open
This paper proposes an artificial neural network (ANN) architecture for solving nonlinear fractional differential equations. The proposed ANN algorithm is based on a truncated power series expansion to substitute the unknown functions in t…
View article: Role of electronic excitation on the anomalous magnetism of elemental copper
Role of electronic excitation on the anomalous magnetism of elemental copper Open
Magnetic susceptibility of elemental copper (Cu) shows an anomalous rise at\nlow temperatures superimposed on the expected atypical diamagnetic response.\nSuch temperature dependent susceptibility, which is also known as the Curie\ntail, c…
View article: Spin reorientation transition driven by polaronic states in Nd<sub>2</sub>CuO<sub>4</sub>
Spin reorientation transition driven by polaronic states in Nd<sub>2</sub>CuO<sub>4</sub> Open
We show that the spin reorientation transitions in Nd 2 CuO 4 are associated with the polaronic states and depend on the electronic interactions between the bulk and the surface.
View article: Analytical method to solve the local fractional vehicular traffic flow model
Analytical method to solve the local fractional vehicular traffic flow model Open
This paper presents a new method to solve the local fractional partial differential equations (LFPDEs) describing fractal vehicular traffic flow. Firstly, the existence and uniqueness of solutions to LFPDEs were proved and then two schemes…
View article: Hydromagnesite sheets impregnated with cobalt–ferrite magnetic nanoparticles as heterogeneous catalytic system for the synthesis of imidazo[1,2-<i>a</i>]pyridine scaffolds
Hydromagnesite sheets impregnated with cobalt–ferrite magnetic nanoparticles as heterogeneous catalytic system for the synthesis of imidazo[1,2-<i>a</i>]pyridine scaffolds Open
Sustainable synthesis of imidazo[1,2-a]pyridine scaffolds assisted by hydromagnesite sheets impregnated with cobalt–ferrite (CoFe2O4-HMS) magnetic nanoparticles (MNPs).
View article: Universal scaling of charge-order melting in the magnetic field–pressure–temperature landscape
Universal scaling of charge-order melting in the magnetic field–pressure–temperature landscape Open
Dc magnetic measurements across the charge ordering (CO) transition temperature (T$_{CO}$) in polycrystalline Pr$_{0.5}$Ca$_{0.5}$Mn$_{0.975}$Al$_{0.025}$O$_3$ have been performed under simultaneous influence of external hydrostatic pressu…
View article: Structure, magnetism and electronic properties in 3$d$-5$d$ based double perovskite (Sr$_{1-x}$Ca$_x$)$_2$FeIrO$_6$ (0 $\leq$ $x$ $\leq$ 1): A combined experimental and theoretical investigation
Structure, magnetism and electronic properties in 3$d$-5$d$ based double perovskite (Sr$_{1-x}$Ca$_x$)$_2$FeIrO$_6$ (0 $\leq$ $x$ $\leq$ 1): A combined experimental and theoretical investigation Open
The 3$d$-5$d$ based double perovskites offer an ideal playground to study the interplay between electron correlation ($U$) and spin-orbit coupling (SOC) effect, showing exotic physics. The Sr$_2$FeIrO$_6$ is an interesting member in this f…