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【論文】Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training
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【論文】Smectic liquid crystalline poly(ester imide)s with low dielectric dissipation factors for high-frequency applications
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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】Shotgun crystal structure prediction using machine-learned formation energies
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【論文】Comprehensive experimental datasets of quasicrystals and their approximants
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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
新着情報論文等
【論文】Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
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