Thermoelectric films and periodic structures and spin Seebeck effect systems: facets of performance optimization

Nandihalli, Nagaraj

doi:10.1016/j.mtener.2022.100965

Cited by 28 publications

(19 citation statements)

References 517 publications

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“…The studied thin film samples of As 4 Ge 24 Te 72 were obtained using the thermal-evaporation method using a coating unit (E 306 A, Ed wards co. England) under a high vacuum ∼ 10 −5 torr at room T using a high melting point molybdenum boat (convenient for chalcogenide semiconductor composition family) [22,23]. The well cleaned deposition glass substrates process was done ultrasonically.…”

Section: Experimental Details and Theoretical Model Basis 21 Experime...mentioning

confidence: 99%

Predicting the AC conductivity of semiconductor composition thin films using ANFIS model; an integrated experimental and theoretical approach

Mohamed,

Atyia

2024

Phys. Scr.

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The current research investigates the conductivity σ AC of glassy As4Ge24Te72 thin films through a combined experimental and theoretical approach. It sheds light on the complex relationship between σ AC , frequency, temperature, and film thickness. Analysis reveals that σ AC follows ω r law and exhibits hopping behavior. To effectively model and predict σ AC , an adaptive neuro-fuzzy inference system (ANFIS) is utilized. The ANFIS model successfully simulates the experimental data, showing high accuracy. Additionally, the prediction of experimentally measured values of σ AC is processed as a testing step and provides acceptable results. That enables ANFIS to enlarge the scale and complete the missing parts in the trained datasets by predictions for unmeasured σ AC values. The ANFIS network was built using MATLAB-R2017a. It consists of two inputs (frequency and temperature) and one output (AC conductivity). The precision is confirmed by calculating the modeling errors across the training process. The mean absolute errors MAE through the modeling process are not exceeding 10 − 5 . This average error value demonstrates the model’s effective ability. The alignment between experimental and ANFIS modeling results open up exciting possibilities for future research. By predicting the properties of the understudy material using ANFIS model, we can pave the way for more compact and efficient electrical devices.

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Section: Experimental Details and Theoretical Model Basis 21 Experime...mentioning

confidence: 99%

Predicting the AC conductivity of semiconductor composition thin films using ANFIS model; an integrated experimental and theoretical approach

Mohamed,

Atyia

2024

Phys. Scr.

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“…The partial cationic substitution of chalcogen or metal atoms in the MX 2 -layers is accompanied by the variation in the AMX 2 physical and chemical properties [ 5 ]. The transformation of AMX 2 into the thin 2D layer structures (nanosheets) allow one significantly to improve their electrical properties [ 6 , 7 ]. The interlayer gap of AMX 2 can also be opened and filled with guest ions or molecules using a special synthesis approach [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…The thermoelectric materials can be used for fabrication of highly efficient thermoelectric generators (TEGs) applied for wasted heat energy harvesting [ 21 ]. The high values of the Seebeck coefficient and ionic conductivity reported allow one to consider CuCrS 2 -based solid solutions as phonon–glass electron–crystal (PGEC) materials [ 6 , 14 , 22 , 23 ]. The Seebeck coefficient is considered to make the most significant contribution to the TEG efficiency.…”

Section: Introductionmentioning

confidence: 99%

The Charge Distribution, Seebeck Coefficient, and Carrier Concentration of CuCr0.99Ln0.01S2 (Ln = Dy–Lu)

et al. 2023

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The atom oxidation states were determined using the binding energies of the core S2p-, Cu2p-, Cr2p-, and Ln3d-levels in CuCr0.99Ln0.01S2 (Ln = Dy–Lu) solid solutions. The charge distribution on the matrix elements (Cu, Cr, and S) remained unaffected after cationic substitution. The sulfur atoms were found to be in the S2− oxidation state, the copper–Cu+, and the chromium–Cr3+. The cationic substitution of the initial CuCrS2-matrix occurred via the isovalent mechanism. The obtained results were compared with the electrophysical properties for CuCr0.99Ln0.01S2. The measured carrier concentration was from 1017 to 1018 cm−3. The largest Seebeck coefficient value of 157 µV/K was measured for CuCr0.99Yb0.01S2 at 500 K. The cationic substitution with lanthanides allowed one to enhance the Seebeck coefficient of the initial CuCrS2-matrix.

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“…The first is the utilization of renewable energy provided by nature on a macro scale (e.g., photovoltaic power generation, [ 15,16 ] wind power generation, [ 17,18 ] hydroelectric power generation, [ 19 ] and solar thermal power generation). [ 20,21 ] The other is to recover energy on the micro scale by collecting energy loss arising from human activities (e.g., piezoelectric nanogenerator (PENG), [ 22–38 ] triboelectric nanogenerator (TENG) [ 10,39–54 ] and thermoelectric generators (TEGs) [ 55–74 ] ).…”

Section: Introductionmentioning

confidence: 99%

Evolution of Thermoelectric Generators: From Application to Hybridization

Liu

Tian

et al. 2023

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Considerable thermal energy is emitted into the environment from human activities and equipment operation in the course of daily production. Accordingly, the use of thermoelectric generators (TEGs) can attract wide interest, and it shows high potential in reducing energy waste and increasing energy recovery rates. Notably, TEGs have aroused rising attention and been significantly boosted over the past few years, as the energy crisis has worsened. The reason for their progress is that thermoelectric generators can be easily attached to the surface of a heat source, converting heat energy directly into electricity in a stable and continuous manner. In this review, applications in wearable devices, and everyday life are reviewed according to the type of structure of TEGs. Meanwhile, the latest progress of TEGs’ hybridization with triboelectric nanogenerator (TENG), piezoelectric nanogenerator (PENG), and photovoltaic effect is introduced. Moreover, prospects and suggestions for subsequent research work are proposed. This review suggests that hybridization of energy harvesting, and flexible high‐temperature thermoelectric generators are the future trends.

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Thermoelectric films and periodic structures and spin Seebeck effect systems: facets of performance optimization

Cited by 28 publications

References 517 publications

Predicting the AC conductivity of semiconductor composition thin films using ANFIS model; an integrated experimental and theoretical approach

Predicting the AC conductivity of semiconductor composition thin films using ANFIS model; an integrated experimental and theoretical approach

The Charge Distribution, Seebeck Coefficient, and Carrier Concentration of CuCr0.99Ln0.01S2 (Ln = Dy–Lu)

Evolution of Thermoelectric Generators: From Application to Hybridization

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