Zobrazeno 1 - 10
of 21 377
pro vyhledávání: '"Vinod Kumar, A."'
Autor:
Sihmar, Isha, Pandey, Abhishek, Solet, Vinod Kumar, Chaudhary, Neeru, Goyal, Navdeep, Pandey, Sudhir K.
Lead chalcogenides are the promising thermoelectric (TE) materials having narrow band gap. The present work investigates the TE behaviour of PbSe in the temperature range 300-500 K. The transport properties of the sample have been studied using the A
Externí odkaz:
http://arxiv.org/abs/2408.03786
In this research, an effort is made to address microgrid systems' operational challenges, characterized by power oscillations that eventually contribute to grid instability. An integrated strategy is proposed, leveraging the strengths of convolutiona
Externí odkaz:
http://arxiv.org/abs/2407.14984
Autor:
Lobo, Allen, Sayal, Vinod Kumar
The kinetic analyses of many-particle soft matter often employ many simulation studies of various physical phenomena which supplement the experimental limitations or compliment the theoretical findings of the study. Such simulations are generally con
Externí odkaz:
http://arxiv.org/abs/2405.16916
Autor:
Chauhan, Vinod Kumar, Clifton, Lei, Salaün, Achille, Lu, Huiqi Yvonne, Branson, Kim, Schwab, Patrick, Nigam, Gaurav, Clifton, David A.
While machine learning algorithms hold promise for personalised medicine, their clinical adoption remains limited. One critical factor contributing to this restraint is sample selection bias (SSB) which refers to the study population being less repre
Externí odkaz:
http://arxiv.org/abs/2405.07841
We have explored a transitioning cosmic model, depicting late-time accelerated expansion in $f(R,T^{\phi})$ theory of gravity for an isotropic and homogeneous universe, where the trace of energy-momentum tensor $T^{\phi}$ is the function of the self-
Externí odkaz:
http://arxiv.org/abs/2403.19458
Graph Neural Networks (GNN) have emerged as a popular and standard approach for learning from graph-structured data. The literature on GNN highlights the potential of this evolving research area and its widespread adoption in real-life applications.
Externí odkaz:
http://arxiv.org/abs/2403.15077
Autor:
Solet, Vinod Kumar, Pandey, Sudhir K.
The present work investigates the performance parameters of low-cost & nontoxic Mg$_{2}$Si and Ca$_{2}$Si compounds for photovoltaic (PV) applications by using density functional theory (DFT) and spectroscopic limited maximum efficiency (SLME) calcul
Externí odkaz:
http://arxiv.org/abs/2401.05296
Publikováno v:
The Bottom Line, 2024, Vol. 37, Issue 3, pp. 277-308.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BL-08-2023-0249
Autor:
Bhardwaj, Vinod Kumar, Garg, Priyanka
In the present study, we explore the dynamical characteristics of the quintessence cosmological model in Weyl-type $f(Q,T)$ gravity. Here, $T$ represents the trace of the matter energy-momentum tensor, and $Q$ symbolizes the nonmetricity tensor. We p
Externí odkaz:
http://arxiv.org/abs/2310.00666
Autor:
Bhardwaj, Vinod Kumar, Yadav, Anil Kumar, Gupta, Lalit Kumar, Prasad, Rajendra, Srivastava, Sudhir Kumar
In the current study, we investigate a scalar field cosmological model with Lyra's geometry to explain the present cosmic expansion in a homogeneous and isotropic flat FRW universe. In Einstein's field equations, we presupposed a variable displacemen
Externí odkaz:
http://arxiv.org/abs/2309.10282