Data‐Driven Materials Innovation and Applications

Z Wang, Z Sun, H Yin, X Liu, J Wang, H Zhao… - Advanced …, 2022 - Wiley Online Library
Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

Recent advances in designing thermoelectric materials

M Mukherjee, A Srivastava, AK Singh - Journal of Materials Chemistry …, 2022 - pubs.rsc.org
The rising demand for energy has accelerated the search for clean and renewable sources
and newer approaches towards efficient energy management. One of the most promising …

A strategy to apply machine learning to small datasets in materials science

Y Zhang, C Ling - Npj Computational Materials, 2018 - nature.com
There is growing interest in applying machine learning techniques in the research of
materials science. However, although it is recognized that materials datasets are typically …

Routes for high-performance thermoelectric materials

X Zhou, Y Yan, X Lu, H Zhu, X Han, G Chen, Z Ren - Materials Today, 2018 - Elsevier
Thermoelectric materials can be used in direct conversion of heat to electricity and vice
versa. The past decade has witnessed the rapid growth of thermoelectric research, targeting …

The 2019 materials by design roadmap

K Alberi, MB Nardelli, A Zakutayev… - Journal of Physics D …, 2018 - iopscience.iop.org
Advances in renewable and sustainable energy technologies critically depend on our ability
to design and realize materials with optimal properties. Materials discovery and design …

Lattice softening significantly reduces thermal conductivity and leads to high thermoelectric efficiency

R Hanus, MT Agne, AJE Rettie, Z Chen… - Advanced …, 2019 - Wiley Online Library
The influence of micro/nanostructure on thermal conductivity is a topic of great scientific
interest, particularly to thermoelectrics. The current understanding is that structural defects …

Machine learning approaches for thermoelectric materials research

T Wang, C Zhang, H Snoussi… - Advanced Functional …, 2020 - Wiley Online Library
Thermoelectric (TE) materials provide a solid‐state solution in waste heat recovery and
refrigeration. During the past few decades, considerable effort has been devoted towards …

Computationally guided discovery of thermoelectric materials

P Gorai, V Stevanović, ES Toberer - Nature Reviews Materials, 2017 - nature.com
The potential for advances in thermoelectric materials, and thus solid-state refrigeration and
power generation, is immense. Progress so far has been limited by both the breadth and …

Charting lattice thermal conductivity for inorganic crystals and discovering rare earth chalcogenides for thermoelectrics

T Zhu, R He, S Gong, T Xie, P Gorai… - Energy & …, 2021 - pubs.rsc.org
Thermoelectric power generation represents a promising approach to utilize waste heat. The
most effective thermoelectric materials exhibit low thermal conductivity κ. However, less than …

Achieving zT > 2 in p‐Type AgSbTe2−xSex Alloys via Exploring the Extra Light Valence Band and Introducing Dense Stacking Faults

M Hong, ZG Chen, L Yang, ZM Liao… - Advanced Energy …, 2018 - Wiley Online Library
Through simultaneously enhancing the power factor by engineering the extra light band and
enhancing phonon scatterings by introducing a high density of stacking faults, a record …