source data for AdTrans
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资源简介：
The data is not original but was collected and compiled from the following studies for further analysis: 1. Tshitoyan, V. et al. Unsupervised word embeddings capture latent knowledge from materials science literature. Nature, 571, 95-98 (2019).2. Antunes, L. M., Grau-Crespo, R. & Butler, K. T. Distributed representations of atoms and materials for machine learning. npj Comput. Mater., 8, 44 (2022).3. Ward, L., Agrawal, A., Choudhary, A. & Wolverton, C. A general-purpose machine learning framework for predicting properties of inorganic materials. npj Comput. Mater., 2, 16028 (2016). 4. A. Jain, S. P. Ong, G. Hautier, W. Chen, W. D. Richards, S. Dacek, S. Cholia, D. Gunter, D. Skinner, G. Ceder, K. A. Persson, APL Mater. 1 (2013) 011002.
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Zenodo创建时间：
2026-07-01
