Looking to draw: picturing the molecular body in art and science by Lookman, M

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

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

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Measuring innovative capability maturity model of trucking companies in Indonesia by Kyatmaja Lookman, Nyoman Pujawan, Reny Nadlifatin

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Effects of Human Resource Investment on Economic Sustainability of Nigerian Real Estate Industry by Olajide Idowu OKUNBANJO, Lookman Olaseni AJETUNMOBI, Adesina Saliu YUSUFF

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Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning by Prasanna V. Balachandran, Benjamin Kowalski, Alp Sehirlioglu, Turab Lookman

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

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Learning from data to design functional materials without inversion symmetry by Prasanna V. Balachandran, Joshua Young, Turab Lookman, James M. Rondinelli

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

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Finding New Perovskite Halides via Machine learning by Ghanshyam ePilania, Prasanna V eBalachandran, Chiho eKim, Turab eLookman

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Accelerated search for materials with targeted properties by adaptive design by Dezhen Xue, Prasanna V. Balachandran, John Hogden, James Theiler, Deqing Xue, Turab Lookman

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

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

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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

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Determining Multi‐Component Phase Diagrams with Desired Characteristics Using Active Learning by Yuan Tian, Ruihao Yuan, Dezhen Xue, Yumei Zhou, Yunfan Wang, Xiangdong Ding, Jun Sun, Turab Lookman

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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

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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

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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

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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

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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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