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Takashi Miyake, Yosuke Harashima, Taro Fukazawa & Hisazumi Akai. (2021) Understanding and optimization of hard magnetic compounds from first principles. Science and Technology of Advanced Materials 22:1, pages 543-556.
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Sourav Mal & Prasenjit Sen. (2024) Leveraging available data for efficient exploration of materials space using Machine Learning: A case study for identifying rare earth-free permanent magnets. Journal of Magnetism and Magnetic Materials 589, pages 171590.
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Yogesh Khatri & Arti Kashyap. (2023) Advancing magnetic material discovery through machine learning: Unveiling new manganese-based materials. APL Machine Learning 1:4.
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Chao Xin, Yaohui Yin, Bingqian Song, Zhen Fan, Yongli Song & Feng Pan. (2023) Machine Learning-Accelerated Discovery of Novel 2D Ferromagnetic Materials with Strong Magnetization. Chip, pages 100071.
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Chao Xin, Bingqian Song, Guangyong Jin, Yongli Song & Feng Pan. (2023) Advancements in High‐Throughput Screening and Machine Learning Design for 2D Ferromagnetism: A Comprehensive Review. Advanced Theory and Simulations.
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Joshua F. Belot, Valentin Taufour, Stefano Sanvito & Gus L. W. Hart. (2023) Machine learning predictions of high-Curie-temperature materials. Applied Physics Letters 123:4.
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Ramon Frey, Bastien F. Grosso, Pascal Fandré, Benjamin Mächler, Nicola A. Spaldin & Aria Mansouri Tehrani. (2023) Accelerated search for new ferroelectric materials. Physical Review Research 5:2.
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Amit Kumar Choudhary, Anoop Kini, Dominic Hohs, Andreas Jansche, Timo Bernthaler, Orsolya Csiszár, Dagmar Goll & Gerhard Schneider. (2023) Machine learning-based Curie temperature prediction for magnetic 14:2:1 phases. AIP Advances 13:3.
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Xiaolin Zhu, Wenhai Wan, Ling Qian, Yu Cai, Xiang Chen, Pingze Zhang, Guanxi Huang, Bo Liu, Qiang Yao, Shaoyuan Li & Zhengjun Yao. (2023) Research on Intelligent Identification and Grading of Nonmetallic Inclusions in Steels Based on Deep Learning. Micromachines 14:2, pages 482.
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Yogesh Khatri, Rajesh Sharma, Ashutosh Shah & Arti Kashyap. (2023) Magnetization in iron based compounds: A machine learning model analysis. AIP Advances 13:2.
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Sun Jing-Qi, Wu Xu-Cai, Que Zhi-Xiong & Zhang Wei-Bing. (2023) Prediction of ferromagnetic materials with high Curie temperature based on material composition information. Acta Physica Sinica 0:0, pages 0.
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Edirisuriya M. Dilanga Siriwardane, Yong Zhao & Jianjun Hu. (2023) Data-driven deep generative design of stable spintronic materials. CrystEngComm.
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Rahma Jabbar, Rateb Jabbar & Slaheddine Kamoun. (2022) Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review. Computational Materials Science 213, pages 111612.
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Zhuo Wang, Zhehao Sun, Hang Yin, Xinghui Liu, Jinlan Wang, Haitao Zhao, Cheng Heng Pang, Tao Wu, Shuzhou Li, Zongyou Yin & Xue‐Feng Yu. (2022) Data‐Driven Materials Innovation and Applications. Advanced Materials 34:36.
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Jian-Gang Kong, Qing-Xu Li, Jian Li, Yu Liu & Jia-Ji Zhu. (2022) Self-Supervised Graph Neural Networks for Accurate Prediction of Néel Temperature. Chinese Physics Letters 39:6, pages 067503.
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Timothy Q. Hartnett, Vaibhav Sharma, Sunidhi Garg, Radhika Barua & Prasanna V. Balachandran. (2022)
Accelerated design of
alloys with targeted magnetostructural properties through interpretable machine learning
. Acta Materialia 231, pages 117891.
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Marian Arale Brännvall, Davide Gambino, Rickard Armiento & Björn Alling. (2022)
Machine learning approach for longitudinal spin fluctuation effects in bcc Fe at
and under Earth-core conditions
. Physical Review B 105:14.
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Arijit Dutta & Prasenjit Sen. (2022) Machine learning assisted hierarchical filtering: a strategy for designing magnets with large moment and anisotropy energy. Journal of Materials Chemistry C 10:9, pages 3404-3417.
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Sijin Ren, Eric Fonseca, William Perry, Hai-Ping Cheng, Xiao-Guang Zhang & Richard G. Hennig. (2022) Ligand Optimization of Exchange Interaction in Co(II) Dimer Single Molecule Magnet by Machine Learning. The Journal of Physical Chemistry A 126:4, pages 529-535.
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Takashi MIYAKE, Yosuke HARASHIMA, Taro FUKAZAWA & Hisazumi AKAI. (2022) Understanding and Optimization of Hard Magnetic Compounds from First Principles第一原理からの磁石化合物の理解と最適化. Journal of the Japan Society of Powder and Powder Metallurgy 69:Supplement, pages S99-S108.
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Wei Li, Lian-Chun Long, Jing-Yi Liu & Yang Yang. (2022) Classification of magnetic ground states and prediction of magnetic moments of inorganic magnetic materials based on machine learning. Acta Physica Sinica 71:6, pages 060202.
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Marco Eckhoff & Jörg Behler. (2021) High-dimensional neural network potentials for magnetic systems using spin-dependent atom-centered symmetry functions. npj Computational Materials 7:1.
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Varun Chaudhary, Richa Chaudhary, Rajarshi Banerjee & R.V. Ramanujan. (2021) Accelerated and conventional development of magnetic high entropy alloys. Materials Today 49, pages 231-252.
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Timothy Q. Hartnett, Vaibhav Sharma, Sunidhi Garg, Radhika Barua & Prasanna V. Balachandran. (2021) Accelerated Design Of MTX Alloys with Targeted Magnetostructural Properties Through Interpretable Machine Learning. SSRN Electronic Journal.
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