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RESEARCH PAPER · Chip · 2023

Machine learning-accelerated discovery of novel 2D ferromagnetic materials with strong magnetization

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42 direct citing works

Machine learning-accelerated discovery of novel 2D ferromagnetic materials with strong magnetizationOriginalAn automatic segmentation and quantification method for austenite and ferrite phases in duplex stainless steel based on deep learning6A review of machine learning applications in polymer composites: advancements, challenges, and future prospects135Advances in Paper-based Colorimetric Sensors Based on Nanozymes for Point-of-Care Testing14Prediction of high Curie temperature Janus materials based on machine learning and first-principles calculations0Prediction of Exchange Bias for Magnetic Heterostructure Nanoparticles with Machine Learning4Machine learning algorithms based approach on prediction of mechanical behaviour of PLA/brass composites manufactured by additive manufacturing6Application of Discrete Element Method to Potato Harvesting Machinery: A Review9Flat broadband frequency upconversion within a thin-film lithium niobate waveguide achieved by multi-objective genetic algorithm particle swarm optimization2Room Temperature Spin Transport in Sub-50 nm Bilayer Graphene Nanoribbons2DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns Using a Generative Pretrained Transformer15Vacancy Defects in 2D Ferroelectric In 2 Se 3 and the Conductivity Modulation by Polarization–Defect Coupling19Control of magnetic transition, metal–semiconductor transition, and magnetic anisotropy in noncentrosymmetric monolayer Cr2Ge2Se3Te34Progress in two-dimensional magnets: from fundamentals to device concepts2Functional 2D MoS2 NEMS resonator array with independent electronic tunability based on mass transfer printing3Artificial Intelligence in Accelerating Materials Discovery: Opportunities and Challenges9Gigahertz multimode vibrations in graphene and MoS 2 nanomechanical resonators at room temperature2Navigating the landscape of 2D ferroic materials: Mechanisms, manipulation, and an AI-empowered exploration future1Machine learning assisted high-throughput study of M4X3Tx MXenes1Exploring the Magnetic Landscape of Easily Exfoliable Two-Dimensional Materials2Intelligent Design of a Wavelength-Sensitive Metalens for Image Encryption0Application of Machine Learning in Predicting the Properties of Two-Dimensional Semiconductor Materials3

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  1. An automatic segmentation and quantification method for austenite and ferrite phases in duplex stainless steel based on deep learning

    Journal of Materials Chemistry A · 2024-12-02

    Lun Che, Zhongping He, Kaiyuan Zheng, Xiaotian Xu, Feng Zhao

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  2. A review of machine learning applications in polymer composites: advancements, challenges, and future prospects

    Journal of Materials Chemistry A · 2025-01-01

    Manickaraj Karuppusamy, Ramakrishnan Thirumalaisamy, Sivasubramanian Palanisamy, Sudha Nagamalai, Ehab El Sayed Massoud, Nadir Ayrılmış

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  3. Advances in Paper-based Colorimetric Sensors Based on Nanozymes for Point-of-Care Testing

    化学学报 · 2025-01-01

    Shuang Zhou, Xuena Mei, Shaowei Wang, Hongmei Yang, Jinghua Yu, Yan Zhang

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  4. Prediction of high Curie temperature Janus materials based on machine learning and first-principles calculations

    Acta Physica Sinica · 2025-01-01

    Zhao‐Sheng Liu, Qiao Zhang, Ning YongQi, FU Xiujiao, Daifeng Zou, Junnian WANG, Yuqing ZHAO

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  5. Prediction of Exchange Bias for Magnetic Heterostructure Nanoparticles with Machine Learning

    The Journal of Physical Chemistry C · 2025-01-04

    Ksenya A. Kapranova, Julia Razlivina, Andrei Dmitrenko, Daniil V. Kladko, Vladimir V. Vinogradov

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  6. Machine learning algorithms based approach on prediction of mechanical behaviour of PLA/brass composites manufactured by additive manufacturing

    Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering · 2025-01-19

    Nisha Soms, K. Ravikumar, M Naveen Kumar

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  7. Application of Discrete Element Method to Potato Harvesting Machinery: A Review

    Agriculture · 2025-01-31

    Yuanman Yue, Qian Zhang, Boyang Dong, Jin Li

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  8. Flat broadband frequency upconversion within a thin-film lithium niobate waveguide achieved by multi-objective genetic algorithm particle swarm optimization

    Optics Express · 2025-01-31

    Yiheng Wu, Haitao Chen, He Fu, Tingzhao Fu, Jianfa Zhang, Zhihong Zhu, Shilong Jin

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  9. Room Temperature Spin Transport in Sub-50 nm Bilayer Graphene Nanoribbons

    ACS Applied Electronic Materials · 2025-02-06

    Peng Chen, Guibai Xie, Shuang Wu, Xiaobo Lu, Guangyu Zhang

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  10. DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns Using a Generative Pretrained Transformer

    The Journal of Physical Chemistry Letters · 2025-02-20

    Kamal Kumar Choudhary

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  11. Vacancy Defects in 2D Ferroelectric In 2 Se 3 and the Conductivity Modulation by Polarization–Defect Coupling

    Nano Letters · 2025-02-28

    Mingyu Ma, Dan Wang, Yuting Huang, Dong Jun Han, Nian‐Ke Chen, Hong‐Bo Sun, Shengbai Zhang, Xianbin Li

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  12. Control of magnetic transition, metal–semiconductor transition, and magnetic anisotropy in noncentrosymmetric monolayer Cr2Ge2Se3Te3

    Applied Physics Letters · 2025-09-01

    Ruiqi Wang, Tengfei Cao, Tianmin Lei, Xie Zhang, Yue‐Wen Fang

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  13. Progress in two-dimensional magnets: from fundamentals to device concepts

    The European Physical Journal B · 2025-12-01

    Soumyajit Sarkar, Soumya Chatterjee

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  14. Functional 2D MoS2 NEMS resonator array with independent electronic tunability based on mass transfer printing

    Microsystems & Nanoengineering · 2026-01-08

    Zuheng Liu, Lingyu Zhu, Shuai Yuan, Yijian Zhang, Pengcheng Zhang, Zhenggang Cai, Liwei Liu, Rui Xia Yang

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  15. Artificial Intelligence in Accelerating Materials Discovery: Opportunities and Challenges

    ChemistrySelect · 2026-02-01

    Avadhesh Kumar Yadav

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  16. Gigahertz multimode vibrations in graphene and MoS 2 nanomechanical resonators at room temperature

    Science Advances · 2026-02-13

    Hao Jia, Fan Ye, Philip X.‐L. Feng

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  17. Navigating the landscape of 2D ferroic materials: Mechanisms, manipulation, and an AI-empowered exploration future

    Applied Physics Reviews · 2026-03-01

    Qian Liu, X.L. Huang, Teli Lin, Zihao Cheng, Junmei Du, Jiao Chen, Haiyan Lu, Lei Shen, Yuanzheng Chen

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  18. Machine learning assisted high-throughput study of M4X3Tx MXenes

    Journal of Magnetism and Magnetic Materials · 2026-04-01

    Sakshi Goel, Arti Kashyap

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  19. Exploring the Magnetic Landscape of Easily Exfoliable Two-Dimensional Materials

    ACS Nano · 2026-04-28

    Fatemeh Haddadi, Davide Campi, Flaviano José dos Santos, Nicolas Mounet, Louis Ponet, Nicola Marzari, Marco Gibertini

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  20. Intelligent Design of a Wavelength-Sensitive Metalens for Image Encryption

    Unknown journal · 2026-05-15

    Haoyu Cheng, Haitao Chen, Mengxiao Yin, Zhenrong Zhang

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  21. Application of Machine Learning in Predicting the Properties of Two-Dimensional Semiconductor Materials

    Nanomaterials · 2026-05-22

    Jie Yang, Lingli Tang, Yunlong Wang, Jie Wen, Wenyuan Chen

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