High‐Entropy Catalyst—A Novel Platform for Electrochemical Water Splitting

Y Zhai, X Ren, B Wang, S Liu - Advanced Functional Materials, 2022 - Wiley Online Library
High‐entropy materials (HEMs) have been in the spotlight as emerging catalysts for
electrochemical water splitting. In particular, HEM catalysts feature multi‐element active sites …

[HTML][HTML] A review on high-temperature applicability: a milestone for high entropy alloys

SK Dewangan, A Mangish, S Kumar, A Sharma… - … Science and Technology …, 2022 - Elsevier
Due to the limitations of utilizing pure metals, several elements were combined to make an
alloy in order to provide and improve certain features as needed for the application. The …

In pursuit of the exceptional: Research directions for machine learning in chemical and materials science

J Schrier, AJ Norquist, T Buonassisi… - Journal of the American …, 2023 - ACS Publications
Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …

[HTML][HTML] Predict the phase formation of high-entropy alloys by compositions

Q Guo, X Xu, X Pei, Z Duan, PK Liaw, H Hou… - Journal of Materials …, 2023 - Elsevier
The existing high-entropy alloys' phase formation prediction models are established based
on empirical thermophysical parameters. The process is complicated, and the accuracy of …

Machine learning paves the way for high entropy compounds exploration: challenges, progress, and outlook

X Wan, Z Li, W Yu, A Wang, X Ke, H Guo… - Advanced …, 2023 - Wiley Online Library
Abstract Machine learning (ML) has emerged as a powerful tool in the research field of high
entropy compounds (HECs), which have gained worldwide attention due to their vast …

Anomalous size effect on yield strength enabled by compositional heterogeneity in high-entropy alloy nanoparticles

J Yan, S Yin, M Asta, RO Ritchie, J Ding, Q Yu - Nature communications, 2022 - nature.com
Abstract High-entropy alloys (HEAs), although often presumed to be random solid solutions,
have recently been shown to display nanometer-scale variations in the arrangements of …

Machine learning accelerates the materials discovery

J Fang, M Xie, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

High‐performance ferroelectric based materials via high‐entropy strategy: Design, properties, and mechanism

Y Zhang, L Chen, H Liu, S Deng, H Qi, J Chen - InfoMat, 2023 - Wiley Online Library
High‐performance ferroelectric materials are widely used in various electronic devices
owing to the function of mutual conversion among different energies, which mainly relates to …

Recent advances and outstanding challenges for implementation of high entropy alloys as structural materials

M Slobodyan, E Pesterev, A Markov - Materials Today Communications, 2023 - Elsevier
The review summarizes some achievements of materials scientists in designing high
entropy alloys (HEAs) and developing production routs for their industrial implementation, as …

Data-driven discovery of a formation prediction rule on high-entropy ceramics

Y Yan, Z Pei, MC Gao, S Misture, K Wang - Acta Materialia, 2023 - Elsevier
The interest in high entropy ceramics (HECs) has increased steadily due to their superior
properties. However, the prediction of their formation still poses challenges for the discovery …