Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning
<p>This chapter addresses the advanced frontier of multi-functional materials science, focusing on engineered thin-film architectures where thermoelectric and optoelectronic phenomena are intrinsically coupled within a single active layer. Moving beyond conventional device paradigms, the discussion...
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
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IntechOpen
2026
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| Acceso en línea: | https://www.intechopen.com/chapters/1240407 |
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| _version_ | 1879164894845075456 |
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| author | Nasiri, Mohammad Ali |
| author_browse | Nasiri, Mohammad Ali |
| author_facet | Nasiri, Mohammad Ali |
| author_sort | Nasiri, Mohammad Ali |
| building | IntechOpen |
| collection | Acceso abierto |
| description | <p>This chapter addresses the advanced frontier of multi-functional materials science, focusing on engineered thin-film architectures where thermoelectric and optoelectronic phenomena are intrinsically coupled within a single active layer. Moving beyond conventional device paradigms, the discussion establishes a rigorous framework for understanding the complex interplay and cross-coupling mechanisms between charge, heat, and light conversion processes. The narrative systematically links sophisticated synthesis protocols – capable of precisely tailoring composition and morphology – with a suite of high-resolution diagnostic tools. A particular emphasis is placed on leveraging synchrotron-based spectroscopic techniques to probe electronic structure and carrier dynamics, complemented by machine learning methodologies to distill fundamental structure-property relationships from complex datasets. The primary objective is to establish the foundational principles for the rational design of next-generation energy harvesting and management systems, wherein thermal and photonic stimuli are harnessed synergistically. This work aims to catalyze a paradigm shift from studying isolated material properties toward a unified understanding of multi-physics in functional solids.</p> |
| doi_str_mv | 10.5772/intechopen.1015036 |
| first_indexed | 2026-10-15T21:41:35Z |
| format | Book Chapter |
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<dc:title>Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning</dc:title>
<dc:creator>Mohammad Ali Nasiri</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description><p>This chapter addresses the advanced frontier of multi-functional materials science, focusing on engineered thin-film architectures where thermoelectric and optoelectronic phenomena are intrinsically coupled within a single active layer. Moving beyond conventional device paradigms, the discussion establishes a rigorous framework for understanding the complex interplay and cross-coupling mechanisms between charge, heat, and light conversion processes. The narrative systematically links sophisticated synthesis protocols &ndash; capable of precisely tailoring composition and morphology &ndash; with a suite of high-resolution diagnostic tools. A particular emphasis is placed on leveraging synchrotron-based spectroscopic techniques to probe electronic structure and carrier dynamics, complemented by machine learning methodologies to distill fundamental structure-property relationships from complex datasets. The primary objective is to establish the foundational principles for the rational design of next-generation energy harvesting and management systems, wherein thermal and photonic stimuli are harnessed synergistically. This work aims to catalyze a paradigm shift from studying isolated material properties toward a unified understanding of multi-physics in functional solids.</p></dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2026-04-14</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/1240407</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.1015036</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-80631-550-5</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/1005098 ; Thin Films - Synthesis and Characterization</dc:source>
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| id | intech-1240407 |
| institution | IntechOpen |
| isbn | 978-1-80631-550-5 |
| language | English |
| last_indexed | 2026-10-15T21:41:35Z |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-12404072026-04-14 Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning Mohammad Ali Nasiri Physical Sciences, Engineering and Technology <p>This chapter addresses the advanced frontier of multi-functional materials science, focusing on engineered thin-film architectures where thermoelectric and optoelectronic phenomena are intrinsically coupled within a single active layer. Moving beyond conventional device paradigms, the discussion establishes a rigorous framework for understanding the complex interplay and cross-coupling mechanisms between charge, heat, and light conversion processes. The narrative systematically links sophisticated synthesis protocols – capable of precisely tailoring composition and morphology – with a suite of high-resolution diagnostic tools. A particular emphasis is placed on leveraging synchrotron-based spectroscopic techniques to probe electronic structure and carrier dynamics, complemented by machine learning methodologies to distill fundamental structure-property relationships from complex datasets. The primary objective is to establish the foundational principles for the rational design of next-generation energy harvesting and management systems, wherein thermal and photonic stimuli are harnessed synergistically. This work aims to catalyze a paradigm shift from studying isolated material properties toward a unified understanding of multi-physics in functional solids.</p> IntechOpen 2026-04-14 Chapter, Part Of Book https://www.intechopen.com/chapters/1240407 doi:10.5772/intechopen.1015036 en ISBN:978-1-80631-550-5 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/1005098 ; Thin Films - Synthesis and Characterization |
| spellingShingle | Physical Sciences, Engineering and Technology Nasiri, Mohammad Ali Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning |
| title | Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning |
| title_full | Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning |
| title_fullStr | Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning |
| title_full_unstemmed | Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning |
| title_short | Advanced Unified Phenomena in Thin Films: Decoding Thermoelectric-Optoelectronic Interplay with Machine Learning |
| title_sort | advanced unified phenomena in thin films decoding thermoelectric optoelectronic interplay with machine learning |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/1240407 |
| work_keys_str_mv | AT nasirimohammadali advancedunifiedphenomenainthinfilmsdecodingthermoelectricoptoelectronicinterplaywithmachinelearning |