Search Results - T. Lookman

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  1. 1

    Editorial: Shaping the future of materials science through machine learning by Dezhen Xue, Turab Lookman

    Published in Materials Genome Engineering Advances (2024-12-01)
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  2. 2

    Multi‐objective optimization and its application in materials science by Bofeng Shi, Turab Lookman, Dezhen Xue

    Published in Materials Genome Engineering Advances (2023-12-01)
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  3. 3

    The γ/γ′ microstructure in CoNiAlCr-based superalloys using triple-objective optimization by Pei Liu, Haiyou Huang, Cheng Wen, Turab Lookman, Yanjing Su

    Published in npj Computational Materials (2023-08-01)
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  4. 4

    Applications of natural language processing and large language models in materials discovery by Xue Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su

    Published in npj Computational Materials (2025-03-01)
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  5. 5

    Unsupervised learning-aided extrapolation for accelerated design of superalloys by Weijie Liao, Ruihao Yuan, Xiangyi Xue, Jun Wang, Jinshan Li, Turab Lookman

    Published in npj Computational Materials (2024-08-01)
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  6. 6

    Materials design with target-oriented Bayesian optimization by Yuan Tian, Tongtong Li, Jianbo Pang, Yumei Zhou, Dezhen Xue, Xiangdong Ding, Turab Lookman

    Published in npj Computational Materials (2025-07-01)
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  7. 7

    Unlocking the black box beyond Bayesian global optimization for materials design using reinforcement learning by Yuehui Xian, Xiangdong Ding, Xue Jiang, Yumei Zhou, Jun Sun, Dezhen Xue, Turab Lookman

    Published in npj Computational Materials (2025-05-01)
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  8. 8

    Self-supervised probabilistic models for exploring shape memory alloys by Yiding Wang, Tianqing Li, Hongxiang Zong, Xiangdong Ding, Songhua Xu, Jun Sun, Turab Lookman

    Published in npj Computational Materials (2024-08-01)
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  9. 9

    Alloy synthesis and processing by semi-supervised text mining by Weiren Wang, Xue Jiang, Shaohan Tian, Pei Liu, Turab Lookman, Yanjing Su, Jianxin Xie

    Published in npj Computational Materials (2023-10-01)
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  10. 10

    Accelerated Search for BaTiO3‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design by Ruihao Yuan, Yuan Tian, Dezhen Xue, Deqing Xue, Yumei Zhou, Xiangdong Ding, Jun Sun, Turab Lookman

    Published in Advanced Science (2019-11-01)
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  11. 11

    Detecting deformation mechanisms of metals from acoustic emission signals through knowledge-driven unsupervised learning by Boyuan Gou, Yan Chen, Songhua Xu, Jun Sun, Turab Lookman, Ekhard K. H. Salje, Xiangdong Ding

    Published in Nature Communications (2025-07-01)
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  12. 12

    Three-dimensional imaging of vortex structure in a ferroelectric nanoparticle driven by an electric field by D. Karpov, Z. Liu, T. dos Santos Rolo, R. Harder, P. V. Balachandran, D. Xue, T. Lookman, E. Fohtung

    Published in Nature Communications (2017-08-01)
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  13. 13

    Compositional design of compounds with elements not in training data using supervised learning by Jingjin He, Ruowei Yin, Changxin Wang, Chuanbao Liu, Dezhen Xue, Yanjing Su, Lijie Qiao, Turab Lookman, Yang Bai

    Published in Journal of Materiomics (2025-05-01)
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  14. 14

    Bond sensitive graph neural networks for predicting high temperature superconductors by Liang Gu, Yang Liu, Pin Chen, Haiyou Huang, Ning Chen, Yang Li, Turab Lookman, Yutong Lu, Yanjing Su

    Published in Materials Genome Engineering Advances (2024-06-01)
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  15. 15

    Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics by Jingjin He, Changxin Wang, Junjie Li, Chuanbao Liu, Dezhen Xue, Jiangli Cao, Yanjing Su, Lijie Qiao, Turab Lookman, Yang Bai

    Published in Journal of Advanced Ceramics (2023-09-01)
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  16. 16

    Identifying intrinsic factors for ductile-to-brittle transition temperatures in Fe–Al intermetallics via machine learning by Dexin Zhu, Kunming Pan, Hong-Hui Wu, Yuan Wu, Jie Xiong, Xu-Sheng Yang, Yongpeng Ren, Hua Yu, Shizhong Wei, Turab Lookman

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  17. 17

    Alkali-deficiency driven charged out-of-phase boundaries for giant electromechanical response by Haijun Wu, Shoucong Ning, Moaz Waqar, Huajun Liu, Yang Zhang, Hong-Hui Wu, Ning Li, Yuan Wu, Kui Yao, Turab Lookman, Xiangdong Ding, Jun Sun, John Wang, Stephen J. Pennycook

    Published in Nature Communications (2021-05-01)
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