A short account of thermoelectric film characterization techniques

Nandihalli, Nagaraj

doi:10.1016/j.mtphys.2023.101173

Cited by 5 publications

(3 citation statements)

References 248 publications

(269 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The assembled f-TEG was connected with wires into a circuit, as shown in Figure S2 (see Supplementary Materials) for the output performance test [37,38]. The hot-end temperature was controlled by heating a copper block (T + ∆T) and the other end was put on an adiabatic foam acting as the cold side (T).…”

Section: Characterization and Property Measurementmentioning

confidence: 99%

Largely Enhanced Thermoelectric Power Factor of Flexible Cu2−xS Film by Doping Mn

Zuo,

Han,

et al. 2023

Materials

View full text Add to dashboard Cite

Copper-sulfide-based materials have attracted noteworthy attention as thermoelectric materials due to rich elemental reserves, non-toxicity, low thermal conductivity, and adjustable electrical properties. However, research on the flexible thermoelectrics of copper sulfide has not yet been reported. In this work, we developed a facile method to prepare flexible Mn-doped Cu2−xS films on nylon membranes. First, nano to submicron powders with nominal compositions of Cu2−xMnyS (y = 0, 0.01, 0.03, 0.05, 0.07) were synthesized by a hydrothermal method. Then, the powders were vacuum-filtrated on nylon membranes and finally hot-pressed. Phase composition and microstructure analysis revealed that the films contained both Cu2S and Cu1.96S, and the size of the grains was ~20–300 nm. By Mn doping, there was an increase in carrier concentration and mobility, and ultimately, the electrical properties of Cu2−xS were improved. Eventually, the Cu2−xMn0.05S film showed a maximum power factor of 113.3 μW m−1 K−2 and good flexibility at room temperature. Moreover, an assembled four-leg flexible thermoelectric generator produced a maximum power of 249.48 nW (corresponding power density ~1.23 W m−2) at a temperature difference of 30.1 K, and had good potential for powering low-power-consumption wearable electronics.

show abstract

Section: Characterization and Property Measurementmentioning

confidence: 99%

Largely Enhanced Thermoelectric Power Factor of Flexible Cu2−xS Film by Doping Mn

Zuo,

Han,

et al. 2023

Materials

View full text Add to dashboard Cite

show abstract

“…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.

View full text Add to dashboard Cite

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.

show abstract

“…Thermoelectric (TE) thin films have been developed for microelectronics applications; see for example, Rowe et al [1], Volklein et al [2], Venkatasubramanian et al [3], Chen et al [4], Kogo et al [5], Corbett et al [6], Nandihalli [7], and Mele et al [8]. These TE films can be used to convert the waste heat (for example, the heat generated by the computer processors) into electric power.…”

Section: Introductionmentioning

confidence: 99%

Thermomechanical Responses and Energy Conversion Efficiency of a Hybrid Thermoelectric–Piezoelectric Layered Structure

Jin,

Yang

2024

J. Compos. Sci.

View full text Add to dashboard Cite

This paper develops a thermoelectric (TE)–piezoelectric (PE) hybrid structure with the PE layer acting as both a support membrane and a sensor for the TE film for microelectronics applications. The TE and PE layers are assumed to be perfectly bonded mechanically and thermally but electrically shielded and insulated with each other. The thermo-electro-mechanical responses of the hybrid bilayer under the TE generator operation conditions are obtained, and the influence of the PE layer on the TE energy conversion efficiency is investigated. The numerical results for a Bi2Te3/PZT-5H bilayer structure show that large compressive stresses develop in both the PE and TE layers. With a decrease in the PE layer thickness, the magnitude of the maximum compressive stress in the PE layer increases whereas the maximum magnitude of the stress in the TE layer decreases. The numerical result of the TE energy conversion efficiency shows that increasing the PE layer thickness leads to lower energy conversion efficiencies. A nearly 40% reduction in the peak efficiency is observed with a PE layer of the same thickness as that of the TE layer. These results suggest that design of TE films with supporting/sensing membranes must consider both aspects of energy conversion efficiency and the thermomechanical reliability of both the TE and PE layers.

show abstract

A short account of thermoelectric film characterization techniques

Cited by 5 publications

References 248 publications

Largely Enhanced Thermoelectric Power Factor of Flexible Cu2−xS Film by Doping Mn

Largely Enhanced Thermoelectric Power Factor of Flexible Cu2−xS Film by Doping Mn

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

Thermomechanical Responses and Energy Conversion Efficiency of a Hybrid Thermoelectric–Piezoelectric Layered Structure

Contact Info

Product

Resources

About