Author Correction: Gas permeability, diffusivity, and solubility in polymers: simulation-experiment data fusion and multi-task machine learning by Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, Huan Tran, Ryan Lively, Rampi Ramprasad

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Artificial intelligence-driven phase stability evaluation and new dopants identification of hafnium oxide-based ferroelectric materials by Shaoan Yan, Pei Xu, Gang Li, Yuchun Li, Yingfang Zhu, Xiaona Zhu, Qiong Yang, Meng Li, Minghua Tang, Hongliang Lu, Sen Liu, Qingjiang Li, David Wei Zhang, Zhigang Chen

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Quantum annealing-assisted lattice optimization by Zhihao Xu, Wenjie Shang, Seongmin Kim, Eungkyu Lee, Tengfei Luo

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Accelerating phase field simulations through a hybrid adaptive Fourier neural operator with U-net backbone by Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

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Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

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Understanding the intrinsic piezoelectric anisotropy of tetragonal ABO3 perovskites through a high-throughput study by Fanhao Jia, Shaowen Xu, Shunbo Hu, Jianguo Chen, Yongchen Wang, Yuan Li, Wei Ren, Jinrong Cheng

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Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function by Jason B. Gibson, Ajinkya C. Hire, Philip M. Dee, Oscar Barrera, Benjamin Geisler, Peter J. Hirschfeld, Richard G. Hennig

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Unlikelihood of a phonon mechanism for the high-temperature superconductivity in La3Ni2O7 by Jing-Yang You, Zien Zhu, Mauro Del Ben, Wei Chen, Zhenglu Li

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Active oversight and quality control in standard Bayesian optimization for autonomous experiments by Sumner B. Harris, Rama Vasudevan, Yongtao Liu

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Cross-scale covariance for material property prediction by Benjamin A. Jasperson, Ilia Nikiforov, Amit Samanta, Fei Zhou, Ellad B. Tadmor, Vincenzo Lordi, Vasily V. Bulatov

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Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions by Mohammad Madani, Valentina Lacivita, Yongwoo Shin, Anna Tarakanova

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Cluster sliding ferroelectricity in trilayer Quasi-Hexagonal C60 by Xuefei Wang, Yanhan Ren, Shi Qiu, Fan Zhang, Xueao Li, Junfeng Gao, Weiwei Gao, Jijun Zhao

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Systematic softening in universal machine learning interatomic potentials by Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder

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Building up accurate atomistic models of biofunctionalized magnetite nanoparticles from first-principles calculations by Paulo Siani, Enrico Bianchetti, Cristiana Di Valentin

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Effect of Hubbard U-corrections on the electronic and magnetic properties of 2D materials: a high-throughput study by Sahar Pakdel, Thomas Olsen, Kristian S. Thygesen

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Feature engineering descriptors, transforms, and machine learning for grain boundaries and variable-sized atom clusters by C. Braxton Owens, Nithin Mathew, Tyce W. Olaveson, Jacob P. Tavenner, Edward M. Kober, Garritt J. Tucker, Gus L. W. Hart, Eric R. Homer

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Sub-bandgap charge harvesting and energy up-conversion in metal halide perovskites: ab initio quantum dynamics by Bipeng Wang, Weibin Chu, Yifan Wu, Wissam A. Saidi, Oleg V. Prezhdo

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Accelerating charge estimation in molecular dynamics simulations using physics-informed neural networks: corrosion applications by Aditya Venkatraman, Mark A. Wilson, David Montes de Oca Zapiain

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Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty by Qinghua Wei, Yuanhao Wang, Guo Yang, Tianyuan Li, Shuting Yu, Ziqiang Dong, Tong-Yi Zhang

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ChIMES Carbon 2.0: A transferable machine-learned interatomic model harnessing multifidelity training data by Rebecca K. Lindsey, Sorin Bastea, Sebastien Hamel, Yanjun Lyu, Nir Goldman, Vincenzo Lordi

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