S
Samar K. Guharay
Researcher at Mitre Corporation
Publications - 22
Citations - 219
Samar K. Guharay is an academic researcher from Mitre Corporation. The author has contributed to research in topics: Metamodeling & Ion-mobility spectrometry. The author has an hindex of 7, co-authored 22 publications receiving 201 citations.
Papers
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Journal ArticleDOI
Modular ion mobility spectrometer for explosives detection using corona ionization.
Kristyn M. Roscioli,Eric J. Davis,William F. Siems,Adrian V. Mariano,Wansheng Su,Samar K. Guharay,Herbert H. Hill +6 more
TL;DR: Simulated spectra were obtained and showed good agreement with experimentally measured spectra using a corona ionization source and the reduced mobilities for TNT and RDX obtained with coronaionization were 1.53 and 1.46 cm(2)/(V s), respectively, and this agreed well with literature values.
Journal ArticleDOI
Effect of space charge on resolving power and ion loss in ion mobility spectrometry.
TL;DR: In this article, the effect of space charge on the performance of an ion mobility spectrometry (IMS) system was studied using the SIMION software package with the Statistical Diffusion Simulation (SDS) module.
Journal ArticleDOI
Predicting Raman Spectra Using Density Functional Theory
TL;DR: Spectra generated at the B3LYP/6-311++G(d,p) level were found to be accurate enough to correctly identify each molecule out of a set of measured molecular spectra.
Patent
Multi-modal particle detector
TL;DR: In this article, the authors present a multi-modal detection method for the detection of particles, including the steps of detecting presence of at least one predetermined particle type in an analyte particle sample using a first particle detection mechanism, and confirming the presence of the predetermined particle types in the analyte particles using a second particle detection mechanisms.
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Analysis of non-stationary dynamics in the financial system
TL;DR: In this paper, the authors used functional principal component analysis (fPCA) and Synchrosqueezing to detect key historic periods of instability in non-stationary time series.