relation: https://khub.utp.edu.my/scholars/9800/
title: Carbon-13 Characterization and Modelling for Temperature Measurement-Based Proton Frequency
creator: Abdullah, M.A.
creator: Albarody, T.M.B.
creator: Yusoff, P.S.M.B.M.
creator: Hussein, A.R.
description: The physical substance at high energy level with specific circumstances; tend to behave harsh and complicated, meanwhile, sustaining equilibrium or non-equilibrium thermodynamic of the system. Measurement of the temperature by ordinary techniques in these cases is not applicable at all. Likewise, there is a need to apply mathematical models in numerous critical applications to measure the temperature accurately at an atomic level of the matter. Those mathematical models follow statistical rules with different distribution approaches of quantities energy of the system. However, these approaches have functional effects at microscopic and macroscopic levels of that system. Therefore, this research study represents an innovative of a wireless temperature sensor, which utilizes proton resonance frequency of carbon-13 isotope material. In addition to that, this study also addresses the energy distribution of the particles by selecting an updated appropriate approach that has interesting points of limitation in the number of degree of freedom: (1) thermodynamically limits and (2) theoretical statistical thermodynamics observations. Lastly, the main idea of this paper is to visualize the analysis of temperate in the nanoscale system via statistical thermodynamics approach along with the material characterization of carbon-13 isotope. © 2018 The Authors, published by EDP Sciences.
publisher: EDP Sciences
date: 2018
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Abdullah, M.A. and Albarody, T.M.B. and Yusoff, P.S.M.B.M. and Hussein, A.R.  (2018) Carbon-13 Characterization and Modelling for Temperature Measurement-Based Proton Frequency.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056753133&doi=10.1051%2fmatecconf%2f201822503005&partnerID=40&md5=9ee468e9711ddc2e6f8ec8c082c748ee
relation: 10.1051/matecconf/201822503005
identifier: 10.1051/matecconf/201822503005