Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Shashwat Bhattacharya"'
Publikováno v:
Journal of Microelectromechanical Systems. 31:760-770
Publikováno v:
IEEE Sensors Journal. 21:21400-21409
This work shows a differential rotational thermal piezoresistive resonator (DR-TPR) design, fabrication, and characterization. The resonator uses silicon on insulator (SOI) microelectromechanical systems (SOI MEMS) technology. The sensing of carboxyl
Publikováno v:
Physical Review Fluids. 6
We analyze the Prandtl number (Pr) dependence of spectra and fluxes of kinetic energy, as well as the energy injection rates and dissipation rates, of turbulent thermal convection using numerical data. As expected, for a flow with $ \mathrm{Pr} \less
Autor:
Sheng-Shian Li, Shashwat Bhattacharya
Publikováno v:
IEEE Sensors Journal. 19:7261-7268
In this paper, we present a silicon on insulator (SOI)-based MEMS oscillator that comprises a ring-shaped rotational mode resonator incorporating fully differential design for operation in aquatic environment using the thermal drive piezoresistive se
Publikováno v:
2020 IEEE SENSORS.
In this paper, for the first time, the phenomenon of mode localization has been investigated for a 3-DOF thermal piezoresistive MEMS coupled-resonator attaining a decent quality factor value of 1,367 in ambient condition. The differential scheme enab
In this paper, we extend Grossmann and Lohse's (GL) model [Phys. Rev. Lett. {\bf 86}, 3316 (2001)] for the predictions of Reynolds number (Re) and Nusselt number (Nu) in turbulent Rayleigh-B\'{e}nard convection (RBC). Towards this objective, we use f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a698d3ca28f5c7e8fb0fc5a94f18ce7
http://arxiv.org/abs/2007.09583
http://arxiv.org/abs/2007.09583
Autor:
Ali Asad, Shashwat Bhattacharya, Shadab Alam, B. Shayak, Mahendra K. Verma, Soumyadeep Chatterjee
In this paper, we analyze the real-time infection data of COVID-19 epidemic for 21 nations up to June 30, 2020. For most of these nations, the total number of infected individuals exhibits a succession of exponential growth and power-law growth befor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::996e4467283793f036e31fff9aeef462
https://doi.org/10.1101/2020.05.05.20091389
https://doi.org/10.1101/2020.05.05.20091389
Publikováno v:
Physics of Fluids. 34:025102
In this paper, we develop a multivariate regression model and a neural network model to predict the Reynolds number (Re) and Nusselt number in turbulent thermal convection. We compare their predictions with those of earlier models of convection: Gros
Autor:
Ali Asad, Ravi Samtaney, Roshan Samuel, Shashwat Bhattacharya, Syed Fahad Anwer, Soumyadeep Chatterjee, Mahendra K. Verma
Publikováno v:
Journal of Open Source Software. 6:2095
We gratefully acknowledge the contributions from Gaurav Gautham, Saurav Bhattacharjee, Rishabh Sahu and Mohammad Anas during the development of SARAS. We also thank Kyle Niemeyer and the reviewers at JOSS, whose useful suggestions greatly improved th
We derive scaling relations for the thermal dissipation rate in the bulk and in the boundary layers for moderate and large Prandtl number (Pr) convection. Using direct numerical simulations of Rayleigh-B\'{e}nard convection, we show that the thermal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f41394af341c9cff7c2796639274485