Predicting the thermal conductivity of Bi2Te3-based thermoelectric energy materials: a machine learning approach

TA Alrebdi, YS Wudil, UF Ahmad, FA Yakasai… - International Journal of …, 2022 - Elsevier
Bi 2 Te 3-based materials are remarkable thermoelectric renewable energy harvesters. The
measurement of their thermal conductivity (κ) is a critical phase toward the realization of the …

Application of machine learning regressors in estimating the thermoelectric performance of Bi2Te3-based materials

YS Wudil, A Imam, MA Gondal, UF Ahmad… - Sensors and Actuators A …, 2023 - Elsevier
Bi 2 Te 3-based semiconductors are versatile thermoelectric energy harvesters, widely
employed for their narrow bandgap and low thermal conductivity. The conventional …

[HTML][HTML] Ensemble learning-based investigation of thermal conductivity of Bi2Te2. 7Se0. 3-based thermoelectric clean energy materials

YS Wudil - Results in Engineering, 2023 - Elsevier
Bi 2 Te 3-based materials are remarkable semiconducting compounds widely employed for
clean energy harvesting via thermoelectric effects. Their energy conversion efficiency is …

Improved thermoelectric properties of hot‐extruded Bi–Te–Se bulk materials with cu doping and property predictions via machine learning

ZL Wang, Y Yokoyama, T Onda… - Advanced Electronic …, 2019 - Wiley Online Library
Abstract Cu‐doped Bi2Te2. 85Se0. 15 bulk thermoelectric materials are fabricated using a
hot‐extrusion technique. The Cu atoms are found to intercalate into interstitial sites between …

[HTML][HTML] Enhancement in figure of merit in N-type Bi (R)-Te thermoelectric nanomaterials

F Ghafoor, B Ghafoor, D Kim, MF Khan… - Journal of Materials …, 2023 - Elsevier
In this paper, we reported the cerium (Ce) doped thermoelectric materials with composition
Bi 2− x RxTe 3 (R= Ce, x= 0.0, 0.1, and 0.2), which were prepared by using different wet …

[HTML][HTML] Understanding bipolar thermal conductivity in terms of concentration ratio of minority to majority carriers

HS Kim, KH Lee, S Kim - Journal of Materials Research and Technology, 2021 - Elsevier
Bi 2 Te 3 is a good candidate to be used in thermoelectric generators. For a higher efficiency
of the generators, shifting the temperature at which Bi 2 Te 3 performs best to higher …

Substrate temperature-dependent thermoelectric figure of merit of nanocrystalline Bi2Te3 and Bi2Te2. 7Se0. 3 prepared using pulsed laser deposition supported by …

YS Wudil, MA Gondal, SG Rao, S Kunwar… - Ceramics …, 2020 - Elsevier
This work reports the pulsed laser deposition of n-type selenium (Se) doped bismuth
telluride (Bi 2 Te 2.7 Se 0.3) and n-type bismuth telluride (Bi 2 Te 3) nanostructures under …

Thermoelectric Properties of Bi2Te3: CuI and the Effect of Its Doping with Pb Atoms

MK Han, Y Jin, DH Lee, SJ Kim - Materials, 2017 - mdpi.com
In order to understand the effect of Pb-CuI co-doping on the thermoelectric performance of
Bi2Te3, n-type Bi2Te3 co-doped with x at% CuI and 1/2 x at% Pb (x= 0, 0.01, 0.03, 0.05 …

[HTML][HTML] Machine learning for predicting ZT values of high-performance thermoelectric materials in mid-temperature range

N Parse, S Pinitsoontorn - APL Materials, 2023 - pubs.aip.org
Machine learning (ML) is increasingly being adopted to accelerate the development of
materials research. In this work, we applied the ML approach to predict the figure-of-merit …

A review on performance evaluation of Bi2Te3-based and some other thermoelectric nanostructured materials

MR Amin Bhuiyan, H Mamur… - Current Nanoscience, 2021 - ingentaconnect.com
Background: Future sustainable energy industrialization is a green energy source that has a
lower circumstantial impact than traditional energy technologies. The advancement of new …