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【論文】Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
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【論文】SPACIER: On-Demand Polymer Design with Fully Automated All-Atom Classical Molecular Dynamics Integrated into Machine Learning Pipelines
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【論文】Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
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【論文】Machine learning-based prediction of the electron energy distribution function and electron density of argon plasma from the optical emission spectra
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【論文】Advancing Extrapolative Predictions of Material Properties through Learning to Learn
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