2019
DOI: 10.3390/atoms7010024
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Developing the Techniques for Solving the Inverse Problem in Photoacoustics

Abstract: In this work, theoretically/mathematically simulated models are derived for the photoacoustic (PA) frequency response of both volume and surface optically-absorbing samples in a minimum volume PA cell. In the derivation process, the thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal, and elastic properties of the sample was investigated. This analy… Show more

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Cited by 16 publications
(4 citation statements)
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“…The earlier developed procedure based on neural networks [ 10 , 11 , 29 , 30 , 31 ] for processing of experimentally recorded photoacoustic signals of silicon samples by the open photoacoustic cell [ 32 , 33 , 34 , 35 ] shows effective recognition and removal of instrumental influence [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ], and, consequently, provides a detailed and precise characterization of the sample [ 41 , 42 , 43 , 44 , 45 , 46 ]. On the other hand, a very thin TiO 2 layer (nano-layer) is easily deposited in a silicon substrate.…”
Section: Introductionmentioning
confidence: 99%
“…The earlier developed procedure based on neural networks [ 10 , 11 , 29 , 30 , 31 ] for processing of experimentally recorded photoacoustic signals of silicon samples by the open photoacoustic cell [ 32 , 33 , 34 , 35 ] shows effective recognition and removal of instrumental influence [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ], and, consequently, provides a detailed and precise characterization of the sample [ 41 , 42 , 43 , 44 , 45 , 46 ]. On the other hand, a very thin TiO 2 layer (nano-layer) is easily deposited in a silicon substrate.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a number of successful alternatives to capacitive microphones have been developed and put into use: optical sensors (uncharged and highly sensitive), resonant tuning forks (QTF) (with small size, environmental noise immunity, and corrosion resistance) [9,10], miniature silicon or micromechanical cantilever (extended dynamic range) [11,12], etc. Unlike the mentioned methods, and based on our previous research, we will review artificial intelligence (AI) applications in PAS that proved as effective tools to achieve better precision and real-time operation with no changes in experimental setup [13,14,15,16,17]. Recently, the growing interest in deep learning neural network applications is noticeable in many techniques based on the PA method and inverse problem solving (mainly in photoacoustic imaging -PAI) [18].…”
Section: Introductionmentioning
confidence: 99%
“…The optimization of the model is pursued, where only dominant processes in the measurement range are to be accounted for, since more detailed models, which include (too) many low-influence processes, result in an imprecise determination of the examined structure parameters by inverse problem-solving (Nesic et al, 2018(Nesic et al, , 2019(Nesic et al, , 2020(Nesic et al, , 2022.…”
Section: Introductionmentioning
confidence: 99%