Leveraging Legacy Data to Accelerate Materials Design via Preference Learning

Xiaolin Sun, Zhufeng Hou, Masato Sumita +3

Machine learning applications in materials science are often hampered by shortage of experimental data. Integration with legacy data from past experiments is a viable way to solve…