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Machine-learning-based phase diagram construction for high-throughput batch experiments
To know phase diagrams is a time saving approach for developing novel materials. To efficiently construct phase diagrams, a machine learning technique was developed using uncertainty sampling, which is called as PDC (Phase Diagram Construction) package [K. Terayama et al. Phys. Rev. Mater. 3, 033802 (2019).]. In this method, the most uncertain point in the phase diagram was suggested as the next experimental condition. However, owing to recent progress in lab automation techniques and robotics,doi:10.6084/m9.figshare.19762389.v1 fatcat:3kurq25ubvg53kkfmstoavgrla