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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Autor principal: Nasiri, Mohammad Ali
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: IntechOpen 2026
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Acceso en línea:https://www.intechopen.com/chapters/1240407
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Sumario:<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>
ISBN:978-1-80631-550-5
DOI:10.5772/intechopen.1015036