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Complexions are phase-like interfacial features that can influence a wide variety of properties, but the ability to predict which material systems can sustain these features remains limited. Amorphous complexions are of particular interest…

Materials Science · Physics 2017-08-22 Jennifer D. Schuler , Timothy J. Rupert

Grain size engineering, particularly reducing grain size into the nanocrystalline regime, offers a promising pathway to further improve the strength-to-weight ratio of Al alloys. Unfortunately, the fabrication of nanocrystalline metals…

Materials Science · Physics 2021-10-07 Tianjiao Lei , Jungho Shin , Daniel S. Gianola , Timothy J. Rupert

Stabilization of grain structure is important for nanocrystalline alloys, and grain boundary segregation is a common approach to restrict coarsening. Doping can alter grain boundary structure, with high temperature states such as amorphous…

Materials Science · Physics 2023-09-15 Tianjiao Lei , Esther C. Hessong , Daniel S. Gianola , Timothy J. Rupert

The discovery of complex concentrated alloys has unveiled materials with diverse atomic environments, prompting the exploration of solute segregation beyond dilute alloys. Data-driven methods offer promising for modeling segregation in such…

Materials Science · Physics 2024-06-11 Doruk Aksoy , Jian Luo , Penghui Cao , Timothy J. Rupert

Grain boundary engineering via dopant segregation can dramatically change the properties of a material. For metallic systems, most current studies concerning interfacial segregation and subsequent transitions of grain boundary structure are…

Materials Science · Physics 2018-12-26 Yang Hu , Timothy J. Rupert

Amorphous complexions have recently been demonstrated to simultaneously enhance the ductility and stability of certain nanocrystalline alloys. In this study, three quinary alloys (Cu-Zr-Hf-Mo-Nb, Cu-Zr-Hf-Nb-Ti, and Cu-Zr-Hf-Mo-W) are…

Materials Science · Physics 2022-02-02 Charlette M. Grigorian , Timothy J. Rupert

Grain boundary chemistry plays a critical role for the properties of metals and alloys, yet there is a lack of consistent datasets for alloy design and development. With the advent of artificial intelligence and machine learning in…

Materials Science · Physics 2025-02-11 Nutth Tuchinda , Gregory B. Olson , Christopher A. Schuh

Amorphous interfacial complexions have been shown to restrict grain growth and improve damage tolerance in nanocrystalline alloys, with increased chemical complexity stabilizing the complexions themselves. Here, we investigate local…

Materials Science · Physics 2026-03-05 Esther C. Hessong , Zhengyu Zhang , Tianjiao Lei , Mingjie Xu , Toshihiro Aoki , Timothy J. Rupert

Investigating the grain boundary energies of pure fcc metals and their surface energies obtained from ab initio modeling, we introduce a robust method to estimate the grain boundary energies for complex multicomponent alloys. The input…

Materials Science · Physics 2021-02-04 Changle Li , Song Lu , Levente Vitos

Tailoring the nanoscale distribution of chemical species at grain boundaries is a powerful method to dramatically influence the properties of polycrystalline materials. However, classical approaches to the problem have tacitly assumed that…

Materials Science · Physics 2024-11-11 Malik Wagih , Yannick Naunheim , Tianjiao Lei , Christopher A. Schuh

Amorphous interfacial complexions are particularly resistant to radiation damage and have been primarily studied in alloys with good glass-forming ability, yet recent reports suggest that these features can form even in immiscible alloys…

Materials Science · Physics 2023-11-21 Doruk Aksoy , Penghui Cao , Jason R. Trelewicz , Janelle P. Wharry , Timothy J. Rupert

Designing alloys for additive manufacturing (AM) presents significant opportunities. Still, the chemical composition and processing conditions required for printability (ie., their suitability for fabrication via AM) are challenging to…

Nanocrystalline metals are promising radiation tolerant materials due to their large interfacial volume fraction, but irradiation-induced grain growth can eventually degrade any improvement in radiation tolerance. Therefore, methods to…

Interfacial segregation and chemical short-range ordering influence the behavior of grain boundaries in complex concentrated alloys. In this study, we use atomistic modeling of a NbMoTaW refractory complex concentrated alloy to provide…

Yttrium and its alloys are promising materials for high-tech applications, particularly in aerospace and nuclear reactors. The doping of metallic elements at grain boundaries can significantly influence the stability, strength, and…

Materials Science · Physics 2024-11-20 Guanlin Lyu , Yuguo Sun , Ping Qian , Panpan Gao

Interfacial segregation can stabilize grain structures and even lead to grain boundary complexion transitions. However, understanding of the complexity of such phenomena in polycrystalline materials is limited, as most studies focus on…

Materials Science · Physics 2021-07-02 P Garg , Z Pan , V Turlo , TJ Rupert

Segregation to defects, in particular to grain boundaries (GBs), is an unavoidable phenomenon leading to changed material behavior over time. With the increase of available computational power, unbiased quantum-mechanical predictions of…

Materials Science · Physics 2025-05-22 Dominik Gehringer , Lorenz Romaner , David Holec

Grain boundary (GB) segregation is a powerful approach for optimizing the thermal and mechanical properties of metal alloys. In this study, we report significant GB interstitial segregation in a representative substitutional binary alloy…

Materials Science · Physics 2025-05-27 Zuoyong Zhang , Chuang Deng

Amorphous grain boundary complexions have been shown to increase the plasticity of nanocrystalline alloys as compared to ordered grain boundaries. Here, the effect of an important structural descriptor, amorphous complexion thickness, on…

While traditional trial-and-error methods for designing amorphous alloys are costly and inefficient, machine learning approaches based solely on composition lack critical atomic structural information. Machine learning interatomic…

Materials Science · Physics 2025-08-19 Xuhe Gong , Hengbo Zhao , Xiao Fu , Jingchen Lian , Qifan Yang , Ran Li , Ruijuan Xiao , Tao Zhang , Hong Li
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