Advanced thermoelectric design: from materials and structures to devices

XL Shi, J Zou, ZG Chen - Chemical reviews, 2020 - ACS Publications
The long-standing popularity of thermoelectric materials has contributed to the creation of
various thermoelectric devices and stimulated the development of strategies to improve their …

Thermoelectric materials and transport physics

N Jia, J Cao, XY Tan, J Dong, H Liu, CKI Tan, J Xu… - Materials Today …, 2021 - Elsevier
Thermoelectrics is attractive as a green and sustainable way for harnessing waste heat and
cooling applications. Designing high performance thermoelectrics involves navigating the …

Machine learning‐driven biomaterials evolution

A Suwardi, FK Wang, K Xue, MY Han, P Teo… - Advanced …, 2022 - Wiley Online Library
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …

Machine learning in energy storage materials

ZH Shen, HX Liu, Y Shen, JM Hu… - Interdisciplinary …, 2022 - Wiley Online Library
With its extremely strong capability of data analysis, machine learning has shown versatile
potential in the revolution of the materials research paradigm. Here, taking dielectric …

Restructured single parabolic band model for quick analysis in thermoelectricity

J Zhu, X Zhang, M Guo, J Li, J Hu, S Cai… - npj Computational …, 2021 - nature.com
The single parabolic band (SPB) model has been widely used to preliminarily elucidate
inherent transport behaviors of thermoelectric (TE) materials, such as their band structure …

Machine learning-assisted ultrafast flash sintering of high-performance and flexible silver–selenide thermoelectric devices

M Saeidi-Javash, K Wang, M Zeng, T Luo… - Energy & …, 2022 - pubs.rsc.org
Flexible thermoelectric generators (TEGs) have shown immense potential for serving as a
power source for wearable electronics and the Internet of Things. A key challenge …

Inverse design of materials by machine learning

J Wang, Y Wang, Y Chen - Materials, 2022 - mdpi.com
It is safe to say that every invention that has changed the world has depended on materials.
At present, the demand for the development of materials and the invention or design of new …

An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties

Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang… - Matter, 2022 - cell.com
Realizing general inverse design could greatly accelerate the discovery of new materials
with user-defined properties. However, state-of-the-art generative models tend to be limited …

Tailoring the phase transition temperature to achieve high-performance cubic GeTe-based thermoelectrics

A Suwardi, J Cao, L Hu, F Wei, J Wu, Y Zhao… - Journal of Materials …, 2020 - pubs.rsc.org
GeTe is highly sought-after due to its versatility as a high-performance thermoelectric
material and phase change material, as well as a ferroelectric Rashba semiconductor …

Bottom-up engineering strategies for high-performance thermoelectric materials

Q Zhu, S Wang, X Wang, A Suwardi, MH Chua… - Nano-Micro Letters, 2021 - Springer
The recent advancements in thermoelectric materials are largely credited to two factors,
namely established physical theories and advanced materials engineering methods. The …