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RESEARCH PAPER · Applied Physics Letters · 2024

Machine-learning-assisted modeling of alloy ordering phenomena at the electronic scale through electronegativity

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Machine-learning-assisted modeling of alloy ordering phenomena at the electronic scale through electronegativityOriginalUniversal scales of electronegativity and ionicity from electron scattering factors12Phase stability and mechanical properties of the six-principal element TiVNbCrCoNi alloys11Space group prediction of complex alloy systems by product-based neural networks5Era of entropy: Synthesis, structure, properties, and applications of high-entropy materials9Exploration for the physical origin and impact of chemical short-range order in high-entropy alloys: Machine learning-assisted study9An assessment of the elemental segregation in equimolar AlCuFeMn medium-entropy alloy using cluster expansion and Monte Carlo simulation1Exploration of ductility for refractory high entropy alloys via interpretive machine learning4Deformation mechanisms of AlCoCrCuFeNi: A molecular dynamics and machine learning approach4Composition-dependent deformation pathways and non-monotonic strength-toughness synergy in CuxCoCrFeNi high-entropy alloy nanowires0

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  1. Universal scales of electronegativity and ionicity from electron scattering factors

    Physical Chemistry Chemical Physics · 2024-01-01

    Jin‐Cheng Zheng

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  2. Phase stability and mechanical properties of the six-principal element TiVNbCrCoNi alloys

    Journal of Alloys and Compounds · 2024-04-27

    Hongda Kang, Zaidong Xu, Baolin Wu, Zhenwei Huang, Xinghao Du, Yudong Zhang, Claude Esling

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  3. Space group prediction of complex alloy systems by product-based neural networks

    Intermetallics · 2024-09-12

    Dingqi Zhao, Junwei Qiao

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  4. Era of entropy: Synthesis, structure, properties, and applications of high-entropy materials

    Applied Physics Letters · 2024-11-11

    Christina M. Rost, Alessandro R. Mazza, Scott J. McCormack, Katharine Lynn Page, Abhishek Sarkar, Thomas Zac Ward

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  5. Exploration for the physical origin and impact of chemical short-range order in high-entropy alloys: Machine learning-assisted study

    Materials & Design · 2025-03-31

    Panhua Shi, Zhen Xie, Jiaxuan Si, Jianqiao Yu, Xiaoyong Wu, Yaojun Li, Qiu Yu Xu, Yuexia Wang

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  6. An assessment of the elemental segregation in equimolar AlCuFeMn medium-entropy alloy using cluster expansion and Monte Carlo simulation

    Journal of Applied Physics · 2025-06-04

    Palash Swarnakar, Partha Sarathi De, Amritendu Roy

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  7. Exploration of ductility for refractory high entropy alloys via interpretive machine learning

    Journal of Materials Research and Technology · 2025-06-12

    Shaolong Zheng, Lingwei Yang, Liyang Fang, Chenran Xu, Guanglong Xu, Yifang Ouyang, Xiaoma Tao

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  8. Deformation mechanisms of AlCoCrCuFeNi: A molecular dynamics and machine learning approach

    Materials Today Nano · 2025-07-22

    Hoang-Giang Nguyen, Sheng‐Joue Young, Thanh-Dung Le, Symeon Chatzinotas, Te‐Hua Fang

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  9. Composition-dependent deformation pathways and non-monotonic strength-toughness synergy in CuxCoCrFeNi high-entropy alloy nanowires

    Materials Today Nano · 2026-09-15

    Xuan-Huy Nguyen, Thanh-Tuan Nguyen, Chau‐Tan‐Phat Le

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