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RESEARCH PAPER · Advanced Theory and Simulations · 2023

Advancements in High‐Throughput Screening and Machine Learning Design for 2D Ferromagnetism: A Comprehensive Review

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Advancements in High‐Throughput Screening and Machine Learning Design for 2D Ferromagnetism: A Comprehensive ReviewOriginalPredicting magnetic properties of van der Waals magnets using graph neural networks3An 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 prospects135Mechanical and electronic response of monolayer chromium trihalides CrX 3 (X = Cl, Br, I) under uniaxial strain2Machine learning study on magnetic structure of rare earth based magnetic materials11DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns Using a Generative Pretrained Transformer15Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications66Correct space group determination of 2D materials0Progress in two-dimensional magnets: from fundamentals to device concepts2High-throughput screening of MN₂/XYAZ₂ van der Waals heterostructures: Controllable Schottky-to-Ohmic contact conversion via electric field modulation0

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  1. Predicting magnetic properties of van der Waals magnets using graph neural networks

    Physical Review Materials · 2024-11-04

    Peter Minch, Romakanta Bhattarai, Kamal Kumar Choudhary, Trevor David Rhone

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  2. 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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  3. 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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  4. Mechanical and electronic response of monolayer chromium trihalides CrX 3 (X = Cl, Br, I) under uniaxial strain

    RSC Advances · 2025-01-01

    Longlong Li, Maria Fyta

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  5. Machine learning study on magnetic structure of rare earth based magnetic materials

    Materials & Design · 2025-02-11

    Dan Liu, Jiahe Song, Zhixin Liu, Jine Zhang, Weiqiang Chen, Yinong Yin, Jianfeng Xi, Xinqi Zheng, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Jirong Sun, Baogen Shen

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  6. 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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  7. Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications

    Environmental Science & Technology · 2025-03-30

    Hao Wang, Yuquan Li, Xiaoyang Xuan, Kai Wang, Ye‐Feng Yao, Likun Pan

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  8. Correct space group determination of 2D materials

    Physical Review Materials · 2025-08-27

    Rashmi Ranjan Routaray, Éric Bousquet, Matteo Giantomassi, Xavier Gonze

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  9. 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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  10. High-throughput screening of MN₂/XYAZ₂ van der Waals heterostructures: Controllable Schottky-to-Ohmic contact conversion via electric field modulation

    Surfaces and Interfaces · 2026-06-19

    Chen Du, You Xie, Y X Chen, Hao Zhu, Shaorong Li, T A Zhang

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