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1. |
Record Nr. |
UNINA9911020238003321 |
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Autore |
Michaelin Kirk H |
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Titolo |
Photoacoustic infrared spectroscopy / / Kirk H. Michaelin [[electronic resource]] |
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Pubbl/distr/stampa |
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ISBN |
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1-280-55692-7 |
9786610556922 |
0-471-32657-7 |
0-471-72119-0 |
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Descrizione fisica |
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1 online resource (xii, 335 p. ) : ill. ; |
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Collana |
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Chemical analysis Photoacoustic infrared spectroscopy |
Chemical analysis ; ; v. 159, [161] |
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Disciplina |
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Soggetti |
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Infrared spectroscopy |
Optoacoustic spectroscopy |
Analytical Chemistry |
Light & Optics |
Physics |
Chemistry |
Physical Sciences & Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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; Chapter 1. Introduction -- 1.1. Single- and multiple-wavelength PA spectroscopies -- ; 1.2. Scope -- ; 1.3. Other sources of information -- ; Chapter 2. Evolution of photoacoustic infrared spectroscopy -- ; 2.1. Early history -- ; 2.2. Multiple-wavelength PA infrared spectroscopy -- ; 2.3. Arrival of PA FTIR spectroscopy -- ; Chapter 3. Experimental methods -- ; 3.1. PA infrared spectroscopy with dispersive spectrometers -- ; 3.2. Rapid-scan PA FTIR spectroscopy -- ; 3.3. Step-scan PA FTIR spectroscopy -- ; 3.4. Photothermal beam deflection spectroscopy -- ; 3.5. Reverse mirage spectroscopy -- ; 3.6. Piezoelectric detection -- ; 3.7. Optothermal window spectroscopy -- ; Chapter 4. Depth profiling -- ; 4.1. Amplitude modulation -- ; 4.2. Phase modulation- ; 4.3. Generalized two-dimensional correlation -- ; |
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Chapter 5. Numerical methods -- ; 5.1. Normalization of PA infrared spectra -- ; 5.2. Linearization of spectra -- ; 5.3. Phase analysis -- ; Chapter 6. Applications of PA infrared spectroscopy -- ; 6.1. Carbons -- ; 6.2. Coals -- ; 6.3. Hydrocarbons -- ; 6.4. Hydrocarbon fuels -- ; 6.5. Corrosion -- ; 6.6. Clays and clay minerals -- ; 6.7. Wood and paper -- ; 6.8. Polymers -- ; 6.9. Gases -- ; 6.10. Food products -- ; 6.11. Biology and biochemistry -- ; 6.12. Medical applications -- ; 6.13. Carbonyl compounds -- ; 6.14. Textiles -- ; 6.15. Catalysts -- ; Chapter 7. Quantitative analysis -- ; 7.1. Quantitation in PA near-infrared spectroscopy -- ; 7.2. Quantitation in PA mid-infrared spectroscopy -- ; 7.3. Quantitative analysis at higher concentrations -- ; Chapter 8. Special topics -- ; 8.1. PA infrared microspectroscopy -- ; 8.2. Synchrotron PA infrared spectroscopy. |
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Sommario/riassunto |
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Photoacoustic infrared spectroscopy differs from traditional infrared spectroscopy in one important way: in its most common implementation, a microphone is used to detect acoustic waves that result from absorption of infrared radiation by a sample. In other words, no optical detector is required to quantify the amount of incident radiation taken up by the sample. This gas-microphone method is one of a series of photoacoustic and photothermal techniques now being used for characterization and analysis of solids, liquids, and gases. Photoacoustic Infrared Spectroscopy represents the most comprehensive resource on this important, emerging technique. Kirk Michaelian℗s trenchant study serves as both a text and reference for a broad community of academic and industrial scientists conducting extensive research and applications in photoacoustic infrared spectroscopy. Chapters include: Evolution of Photoacoustic Infrared Spectroscopy Experimental Methods Depth Profiling Numerical Methods Applications of Photoacoustic Infrared Spectroscopy Quantitative Analysis Special TopicsPhysicists, chemists, and spectroscopists in both academic and industrial laboratories, polymer and organic chemists, analysts in industry, forensic and government laboratories, and materials scientists will find Photoacoustic Infrared Spectroscopy to be a vital resource. |
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2. |
Record Nr. |
UNINA9911047704203321 |
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Autore |
Senn Walter |
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Titolo |
Artificial Neural Networks and Machine Learning - ICANN 2025 : 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part I |
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Pubbl/distr/stampa |
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Cham : , : Springer, , 2025 |
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©2026 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (1178 pages) |
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Collana |
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Lecture Notes in Computer Science Series ; ; v.16068 |
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Altri autori (Persone) |
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SanguinetiMarcello |
SaudargieneAusra |
TetkoIgor V |
VillaAlessandro E. P |
JirsaViktor |
BengioYoshua |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9-12, 2025.The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. |
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