most citedScaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions

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cond-mat.mtrl-sci2024

SPACIER: On-Demand Polymer Design with Fully Automated All-Atom Classical Molecular Dynamics Integrated into Machine Learning Pipelines

Shun Nanjo, Arifin, Hayato Maeda +5

Machine learning has rapidly advanced the design and discovery of new materials with targeted applications in various systems. First-principles calculations and other computer expe…

cond-mat.mtrl-sci2024★ 2 cited

Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions

Shunya Minami, Yoshihiro Hayashi, Stephen Wu +6

To address the challenge of limited experimental materials data, extensive physical property databases are being developed based on high-throughput computational experiments, such…