2021
DOI: 10.1016/j.arabjc.2021.103103
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The multi-dimensional approach to synergistically improve the performance of inorganic thermoelectric materials: A critical review

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Cited by 22 publications
(7 citation statements)
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“…Consequently, this characteristic facilitates the more efficient conversion of heat energy into electrical energy . One of the main obstacles encountered with inorganic thermoelectric materials is to their comparatively elevated thermal conductivity . The presence of low thermal resistance is advantageous; nevertheless, an excessive level of thermal conductivity can result in substantial heat dissipation and a decrease in the overall efficiency of thermoelectric devices .…”
Section: Methods Of Synthesismentioning
confidence: 99%
“…Consequently, this characteristic facilitates the more efficient conversion of heat energy into electrical energy . One of the main obstacles encountered with inorganic thermoelectric materials is to their comparatively elevated thermal conductivity . The presence of low thermal resistance is advantageous; nevertheless, an excessive level of thermal conductivity can result in substantial heat dissipation and a decrease in the overall efficiency of thermoelectric devices .…”
Section: Methods Of Synthesismentioning
confidence: 99%
“…Additionally, machine learning has been employed to solve problems in engineering, sciences, energy, construction, business, and medicine, to mention a few. , A couple of works exist where machine learning techniques were used to conduct a calibration-free LIBS study. , This was supported by the ability of the laser-induced spectroscopy device to produce sufficient input datasets and the capacity of machine learning algorithms to process them. Studying the physical properties of soils under LIBS is utterly cumbersome. However, considering the built-in capability of machine learning techniques to map complex patterns, it can be trained using the acquired chemical properties to predict the physical properties, such as soil UCS, as conducted in the current work.…”
Section: Introductionmentioning
confidence: 99%
“…[4][5][6][7][8] In recent times, the method of strategically integrating various properties through a multi-doped single-phase compound that utilizes the simultaneous advantage of phononic and electronic structure engineering has been adopted for the best thermoelectric efficiency. 1,2,9 In this view, the doping of heavy elements with additional magnetic ion substitution in thermoelectric oxide systems and further using magnetic eld as a handle to improve the ZT values has not been explored yet. 10,11 Oxide materials are promising candidates for thermoelectricity due to their low cost of production, physically and chemically robust characteristics, non-toxicity in nature and large natural abundance in comparison to the other existing choices like Heusler alloys, chalcogenides, inorganic clathrates and skutterudites.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, research in the field of thermoelectricity has mainly been oriented towards the synergistic improvement of the conversion efficiency using a multidimensional approach within a single specimen. 1–3 The conversion efficiency or performance of a thermoelectric material is governed by a dimensionless parameter called ZT known as ‘figure of merit’ defined as where S , σ , and κ are the Seebeck coefficient, electrical conductivity, and thermal conductivity, respectively. 3 The interdependency of all these parameters is the main impediment halting the improvement in the thermoelectric performance.…”
Section: Introductionmentioning
confidence: 99%
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