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Dive into the research topics where Aditya B. Nayak is active.

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Proceedings of SPIE | 2015

Characterization of ion-assisted induced absorption in A-Si thin-films used for multivariate optical computing

Aditya B. Nayak; James M. Price; Bin Dai; David L. Perkins; Ding Ding Chen; Christopher Michael Jones

Multivariate optical computing (MOC), an optical sensing technique for analog calculation, allows direct and robust measurement of chemical and physical properties of complex fluid samples in high-pressure/high-temperature (HP/HT) downhole environments. The core of this MOC technology is the integrated computational element (ICE), an optical element with a wavelength-dependent transmission spectrum designed to allow the detector to respond sensitively and specifically to the analytes of interest. A key differentiator of this technology is it uses all of the information present in the broadband optical spectrum to determine the proportion of the analyte present in a complex fluid mixture. The detection methodology is photometric in nature; therefore, this technology does not require a spectrometer to measure and record a spectrum or a computer to perform calculations on the recorded optical spectrum. The integrated computational element is a thin-film optical element with a specific optical response function designed for each analyte. The optical response function is achieved by fabricating alternating layers of high-index (a-Si) and low-index (SiO2) thin films onto a transparent substrate (BK7 glass) using traditional thin-film manufacturing processes (e.g., ion-assisted e-beam vacuum deposition). A proprietary software and process are used to control the thickness and material properties, including the optical constants of the materials during deposition to achieve the desired optical response function. The ion-assisted deposition is useful for controlling the densification of the film, stoichiometry, and material optical constants as well as to achieve high deposition growth rates and moisture-stable films. However, the ion-source can induce undesirable absorption in the film; and subsequently, modify the optical constants of the material during the ramp-up and stabilization period of the e-gun and ion-source, respectively. This paper characterizes the unwanted absorption in the a-Si thin-film using advanced thin-film metrology methods, including spectroscopic ellipsometry and Fourier transform infrared (FTIR) spectroscopy. The resulting analysis identifies a fundamental mechanism contributing to this absorption and a method for minimizing and accounting for the unwanted absorption in the thin-film such that the exact optical response function can be achieved.


Archive | 2013

Systems and methods to improve optical spectrum fidelity in integrated computational elements

Aditya B. Nayak; James M. Price; David L. Perkins


Archive | 2014

ENGINEERING THE OPTICAL PROPERTIES OF AN INTEGRATED COMPUTATIONAL ELEMENT BY ION IMPLANTATION

James M. Price; Aditya B. Nayak; David L. Perkins


Archive | 2014

In-situ spectroscopy for monitoring fabrication of integrated computational elements

James M. Price; Aditya B. Nayak; David L. Perkins


Archive | 2014

Optical transmission/reflection mode in-situ deposition rate control for ice fabrication

James M. Price; Aditya B. Nayak; David L. Perkins


Archive | 2013

Adjusting fabrication of integrated computational elements

David L. Perkins; Robert P. Freese; Christopher Michael Jones; Richard Neal Gardner; James M. Price; Aditya B. Nayak


Archive | 2018

SPECTRALLY PROGRAMMABLE MEMRISTOR-BASED OPTICAL COMPUTING

Samuel James Maguire-boyle; Aditya B. Nayak


Archive | 2017

Opticoanalytical devices with capacitance-based nanomaterial detectors

James M. Price; Aditya B. Nayak; David L. Perkins; Michael T. Pelletier


Archive | 2016

Fabry-perot based optical computing

Aditya B. Nayak; James M. Price; David L. Perkins


Archive | 2015

Method for Designing a High Sensitivity Integrated Computational Element

Aditya B. Nayak; James M. Price; David L. Perkins

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