Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shrutidhara Sarma"'
Publikováno v:
Measurement: Sensors, Vol 27, Iss , Pp 100692- (2023)
Accurate monitoring and control of localized temperature is crucial to assess health conditions, to detect and diagnose diseases early and to offer possibilities of building smart healthcare systems. Flexible temperature sensors offer conformal attac
Externí odkaz:
https://doaj.org/article/a96db28fdd8b4b659eb1d4413f5f57be
Autor:
Shrutidhara Sarma, Jang Ho Lee
Publikováno v:
Sensors, Vol 18, Iss 10, p 3182 (2018)
In this paper, we present the fabrication of an efficient thin film temperature sensor utilizing chemical vapor deposited carbon nanotube (CNT) film as the sensing element on Si substrates, with diamond-like carbon (DLC):Ni as a catalyst in assisting
Externí odkaz:
https://doaj.org/article/1be16872c3564bb8b460ceaf2e83babc
Publikováno v:
Energies, Vol 11, Iss 7, p 1728 (2018)
In recent years, integration of electric vehicles (EVs) has increased dramatically due to their lower carbon emissions and reduced fossil fuel dependency. However, charging EVs could have significant impacts on the electrical grid. One promising meth
Externí odkaz:
https://doaj.org/article/9f24c0373a074d80ae3f94f70d221546
Publikováno v:
Materials Today: Proceedings. 76:310-315
Publikováno v:
Polymer Composites. 44:1381-1391
Publikováno v:
2023 IEEE Applied Sensing Conference (APSCON).
Autor:
Shrutidhara Sarma
Publikováno v:
Advanced Science, Engineering and Medicine. 12:1125-1129
In depth understanding of resistivity of metals is of utmost importance for optimizing circuit designs and electrical systems. In this study, we investigated the relation between film thickness (in the range of 25−350 nm) and film resistivity of Cu
Autor:
Shivam Kumar Singh, Shrutidhara Sarma
Publikováno v:
Journal of Electrostatics. 120:103770
Publikováno v:
Computational Materials Science. 213:111661
Autor:
Akhil Garg, Liang Gao, Xiao-Dong Niu, Ankit Goyal, Xu Meijuan, Shrutidhara Sarma, Jayne Sandoval
Publikováno v:
Applied Thermal Engineering. 147:545-550
Thin film materials along with nanotechnology can be a useful tool to efficiently estimate the surface heat flux. The advancement of soft computing methods can also be used for automated estimation of thermal performances of various heat gauges. Thus