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Accurate machine learning force fields via experimental and simulation data fusion

Engineering and Technology

Accurate machine learning force fields via experimental and simulation data fusion

S. Röcken and J. Zavadlav

Explore groundbreaking research by Sebastien Röcken and Julija Zavadlav on leveraging Machine Learning to fuse Density Functional Theory and experimental data for enhanced accuracy in titanium force fields. This innovative approach promises to correct DFT inaccuracies while preserving essential material properties.

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