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High entropy materials offer a promising avenue for thermoelectric materials discovery, design, and optimization. However, the large chemical spaces that need to be explored hamper their development. In this work, a large family of…

High-entropy alloys (HEAs) are attracting attention due to their exceptional properties, such as enhanced mechanical toughness, superconducting robustness, and thermoelectric performance. Numerous HEAs have been developed for diverse…

Materials Science · Physics 2024-09-04 Rikuya Ishikawa , Kyohei Takae , Yoshikazu Mizuguchi , Rei Kurita

The successful synthesis of high entropy alloy (HEA) nanoparticles, a long-sought goal in materials science, opens a new frontier in materials science with applications across catalysis, electronics, structural alloys, and energetic…

Materials Science · Physics 2021-05-27 Wissam A. Saidi , Waseem Shadid , Götz Veser

High-entropy materials have attracted considerable interest due to the combination of useful properties and promising applications. Predicting their formation remains the major hindrance to the discovery of new systems. Here we propose a…

It has been shown that oxide ceramics containing multiple transition and/or rare-earth elements in equimolar ratios have a strong tendency to crystallize in simple single phase structures, stabilized by the high configurational entropy. In…

Materials Science · Physics 2019-03-27 Ralf Witte , Abhishek Sarkar , Robert Kruk , Benedikt Eggert , Richard A. Brand , Heiko Wende , Horst Hahn

High-entropy alloys (HEAs) stand out between multi-component alloys due to their attractive microstructures and mechanical properties. In this investigation, molecular dynamics (MD) simulation and machine learning were used to ascertain the…

Materials Science · Physics 2024-02-05 Hoang-Giang Nguyen , Thanh-Dung Le

The growing need for structural materials with strength, mechanical stability, and durability in extreme environments is driving the development of high entropy alloys. These are materials with near equiatomic mixing of five or more…

Materials Science · Physics 2025-09-18 Rahul Bouri , Manikantan R. Nair , Tribeni Roy

On the premise that amorphous-HEA composites could demonstrate high toughness and resistance to embrittlement akin to the phase separating glassy-solid solution composites, we develop a thermodynamics based approach to identify chemical…

Materials Science · Physics 2020-06-23 Nikhil Rai , Priyabrata Das , Srikant Gollapudi

Order versus disorder in the structure of materials plays a key role in the theoretical prediction of their properties. However, this structural description appears to be ineffective for new families of materials such as high entropy alloys…

High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional mechanical properties and the vast compositional space for new HEAs. However, understanding their novel physical mechanisms and then using these…

Materials Science · Physics 2022-09-08 Xianglin Liu , Jiaxin Zhang , Zongrui Pei

Superconducting high-entropy alloys (HEAs) are a newly burgeoning field of unconventional superconductors and raise intriguing questions about the presence of superconductivity in highly disordered systems, which lack regular phonon modes.…

Superconductivity · Physics 2023-05-16 K. Motla , Arushi , S. Jangid , P. Meena , R. K. Kushwaha , R. P. Singh

High-entropy alloy (HEA) superconductors have garnered significant attention due to their unique characteristics, such as robust superconductivity under extremely high pressure and irradiation, the cocktail effect, and the enhancement of…

Superconductivity · Physics 2025-04-10 Jiro Kitagawa , Yoshikazu Mizuguchi , Terukazu Nishizaki

Interest in high entropy alloy thermoelectric materials is predicated on achieving ultralow lattice thermal conductivity $\kappa\sub{L}$ through large compositional disorder. However, here we show that for a given mechanism, such as mass…

We use high-throughput first-principles sampling to investigate competitive factors that determine the crystal structure of high-entropy alloys (HEAs) and the energetics dependence of the stable phase on the atomic configuration of fully…

Materials Science · Physics 2022-01-03 Hiroshi Mizuseki , Ryoji Sahara , Kenta Hongo

Multi-Principal Element Alloys (MPEAs) have emerged as an exciting area of research in materials science in the 2020s, owing to the vast potential for discovering alloys with unique and tailored properties enabled by the combinations of…

Materials Science · Physics 2024-08-15 Brent Vela , Trevor Hastings , Raymundo Arróyave

Compositionally complex materials have demonstrated extraordinary promise for structural robustness in extreme environments. Of these, the most commonly thought of are high entropy alloys, where chemical complexity grants uncommon…

Materials Science · Physics 2024-06-19 T. Z. Ward , R. P. Wilkerson , B. L. Musico , A. Foley , M. Brahlek , W. J. Weber , K. E. Sickafus , A. R. Mazza

Thermoelectric properties of Half Heusler alloys are predicted by adopting an ensemble modelling approach, specifically the stacking model integrated using Random Forest and XGBoost scheme. Leveraging a diverse dataset encompassing thermal…

Materials Science · Physics 2024-08-02 Vipin K. E , Prahallad Padhan

The thermoelectric performance of materials exhibits complex nonlinear dependencies on both elemental types and their proportions, rendering traditional trial-and-error approaches inefficient and time-consuming for material discovery. In…

Materials Science · Physics 2025-04-14 Yuxuan Zeng , Wenhao Xie , Wei Cao , Tan Peng , Yue Hou , Ziyu Wang , Jing Shi

High entropy alloys (HEAs) are a new class of metals that exhibit unique mechanical performance. Among HEAs, additively manufactured eutectic high entropy alloys (AM-EHEAs) have recently emerged as candidate materials for use in extreme…

High Entropy Alloys (HEAs) are designed by mixing multiple metallic species in nearly the same amount to obtain crystalline or amorphous materials with exceptional mechanical properties. Here we use molecular dynamics simulations to…

Disordered Systems and Neural Networks · Physics 2023-03-17 Silvia Bonfanti , Roberto Guerra , Rene Alvarez-Donado , Pawel Sobkowicz , Stefano Zapperi , Mikko Alava