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Whilst multi-principal element alloys (MPEAs) remain a promising class of materials owing to several attractive mechanical properties, their corrosion performance is also unique. In this concise review, we present an emerging overview of…

Multi-principal element alloys (MPEAs) are produced by combining metallic elements in what is a diverse range of proportions. MPEAs reported to date have revealed promising performance due to their exceptional mechanical properties.…

材料科学 · 物理学 2023-08-16 R. Tan , Z. Li , S. Zhao , N. Birbilis

Corrosion has a wide impact on society, causing catastrophic damage to structurally engineered components. An emerging class of corrosion-resistant materials are high-entropy alloys. However, high-entropy alloys live in high-dimensional…

材料科学 · 物理学 2024-09-12 Cheng Zeng , Andrew Neils , Jack Lesko , Nathan Post

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…

材料科学 · 物理学 2024-08-15 Brent Vela , Trevor Hastings , Raymundo Arróyave

Finding Minimum Energy Configurations (MECs) is essential in fields such as physics, chemistry, and materials science, as they represent the most stable states of the systems. In particular, identifying such MECs in multi-component alloys…

材料科学 · 物理学 2025-01-27 Md Rajib Khan Musa , Yichen Qian , Jie Peng , David Cereceda

Multi-principal element alloys (MPEAs), also known as high-entropy alloys, have garnered significant interest across many applications due to their exceptional properties. Equilibrium vacancy concentrations in MPEAs influence diffusion and…

材料科学 · 物理学 2026-03-26 Damien K. J. Lee , Yann L. Müller , Anirudh Raju Natarajan

There is intense interest in uncovering design rules that govern the formation of various structural phases as a function of chemical composition in multi-principal element alloys (MPEAs). In this paper, we develop a machine learning (ML)…

Developing fast and accurate methods to discover intermetallic compounds is relevant for alloy design. While density-functional-theory (DFT)-based methods have accelerated design of binary and ternary alloys by providing rapid access to the…

材料科学 · 物理学 2020-09-09 Zhaohan Zhang , Mu Li , Katharine Flores , Rohan Mishra

The exploration of multi-principal-component alloys (MPCAs) as potential functional materials in research is still in its early phase, with most studies centred on their potential application as structural materials. Magnetic materials…

材料科学 · 物理学 2024-08-23 Palash Swarnakar , Partha Sarathi De , Amritendu Roy

Traditionally, yield strength prediction relies on detailed and resource-intensive microstructural characterization combined with empirical equations. However, quantifying microstructural feature length scales for novel processes like…

材料科学 · 物理学 2024-12-12 Abhinav Chandraker , Sampad Barik , Nichenametla Jai Sai , Ankur Chauhan

The design of corrosion-resistant high entropy alloys (CR-HEAs) is challenging due to the alloys' virtually astrological composition space. To facilitate this, efficient and reliable high-throughput exploratory approaches are needed. Toward…

材料科学 · 物理学 2021-04-22 Thien Duong , Yafei Wang , Xiaoli Yan , Adrien Couet , Santanu Chaudhuri

Multi-principal element alloys open large composition spaces for alloy development. The large compositional space necessitates rapid synthesis and characterization to identify promising materials, as well as predictive strategies for alloy…

Multi-principal element alloys (MPEAs) exhibit exceptional properties but face significant challenges in developing accurate machine-learning potentials (MLPs) due to their vast compositional and configurational complexity. Here, we…

材料科学 · 物理学 2025-10-21 Yan Liu , Jiantao Wang , Hongkun Deng , Yan Sun , Xing-Qiu Chen , Peitao Liu

Refractory multi-principal element alloys (MPEAs) have exceptional mechanical properties, including high strength-to-weight ratio and fracture toughness, at high temperatures. Here, we elucidate the complex interplay between segregation,…

材料科学 · 物理学 2020-05-18 Xiang-Guo Li , Chi Chen , Hui Zheng , Yunxing Zuo , Shyue Ping Ong

Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear fusion applications. However, the vast compositional space…

材料科学 · 物理学 2025-05-14 Fei Shuang , Yucheng Ji , Zixiong Wei , Chaofang Dong , Wei Gao , Luca Laurenti , Poulumi Dey

We propose machine learning (ML) models to predict the electron density -- the fundamental unknown of a material's ground state -- across the composition space of concentrated alloys. From this, other physical properties can be inferred,…

While first-principles methods have been successfully applied to characterize individual properties of multi-principal element alloys (MPEA), their use to search for optimal trade-offs between competing properties is hampered by high…

材料科学 · 物理学 2024-07-25 Franco Moitzi , Lorenz Romaner , Max Hodapp , Andrei V. Ruban , Oleg E. Peil

Due to the vast compositional space of multi-principal element alloys (MPEAs), the rational design of MPEAs for optimized microstructures is difficult. Therefore, a high-throughput first-principles study of Mo-V-Nb-Ti-Zr, a refractory MPEA,…

材料科学 · 物理学 2021-05-25 Zhidong Leong , Upadrasta Ramamurty , Teck Leong Tan

Multi-principal element alloys (MPEAs) are exciting systems showing remarkable properties compared to conventional materials due to their exceedingly large compositional space and spatially varying chemical environment. However, predicting…

材料科学 · 物理学 2022-09-12 Mauricio Ponga , Mohamed Hendy , Okan K. Orhan , Swarnava Ghosh

High-entropy alloys (HEAs) exhibit exceptional properties arising from a combination of thermodynamic, kinetic and structural factors and have found applications in numerous fields such as aerospace, energy, chemical industries, hydrogen…

材料科学 · 物理学 2025-11-18 Manish Sahoo , Akash Deshmukh , Yash Kokane , Jayaprakash H M , Raghavan Ranganathan
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