Multifunctional high-entropy materials

L Han, S Zhu, Z Rao, C Scheu, D Ponge… - Nature Reviews …, 2024 - nature.com
Entropy-related phase stabilization can allow compositionally complex solid solutions of
multiple principal elements. The massive mixing approach was originally introduced for …

Achieving material diversity in wire arc additive manufacturing: lea** from alloys to composites via wire innovation

H Yi, L Jia, J Ding, H Li - International Journal of Machine Tools and …, 2024 - Elsevier
Multi-material components featuring high performance and design flexibility have attracted
considerable attention, providing solutions to meet the performance demands of high-end …

Leveraging large language models for predictive chemistry

KM Jablonka, P Schwaller… - Nature Machine …, 2024 - nature.com
Abstract Machine learning has transformed many fields and has recently found applications
in chemistry and materials science. The small datasets commonly found in chemistry …

Machine learning for high-entropy alloys: Progress, challenges and opportunities

X Liu, J Zhang, Z Pei - Progress in Materials Science, 2023 - Elsevier
High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional
mechanical properties and the vast compositional space for new HEAs. However …

High-entropy energy materials: challenges and new opportunities

Y Ma, Y Ma, Q Wang, S Schweidler, M Botros… - Energy & …, 2021 - pubs.rsc.org
The essential demand for functional materials enabling the realization of new energy
technologies has triggered tremendous efforts in scientific and industrial research in recent …

Mechanical behavior of high-entropy alloys

W Li, D **e, D Li, Y Zhang, Y Gao, PK Liaw - Progress in Materials Science, 2021 - Elsevier
Research in the field of high-entropy alloys has been surging since the 2010s. As widely
acknowledged, research interests in this field are largely sparked by the enormous …

Multicomponent high-entropy Cantor alloys

B Cantor - Progress in Materials Science, 2021 - Elsevier
Multicomponent high-entropy Cantor alloys are single-phase and near-single-phase face-
centred cubic alloys, occupying an enormous region of multicomponent phase space. They …

Explainable machine learning in materials science

X Zhong, B Gallagher, S Liu, B Kailkhura… - npj computational …, 2022 - nature.com
Abstract Machine learning models are increasingly used in materials studies because of
their exceptional accuracy. However, the most accurate machine learning models are …

What makes high‐entropy alloys exceptional electrocatalysts?

T Löffler, A Ludwig, J Rossmeisl… - Angewandte Chemie …, 2021 - Wiley Online Library
The formation of a vast number of different multielement active sites in compositionally
complex solid solution materials, often more generally termed high‐entropy alloys, offers …

A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness

C Yang, C Ren, Y Jia, G Wang, M Li, W Lu - Acta Materialia, 2022 - Elsevier
Trapped by time-consuming traditional trial-and-error methods and vast untapped
composition space, efficiently discovering novel high entropy alloys (HEAs) with exceptional …