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math.AT2022
Persistent homology analysis with nonnegative matrix factorization for 3D voxel data of iron ore sinters
Ippei Obayashi, Masao Kimura
This paper proposes a data analysis method using persistent homology and nonnegative matrix factorization. A concatenated persistence image technique is used to extract coexisting…
cs.LG2022
Persistent homology-based descriptor for machine-learning potential of amorphous structures
Emi Minamitani, Ippei Obayashi, Koji Shimizu +1
High-accuracy prediction of the physical properties of amorphous materials is challenging in condensed-matter physics. A promising method to achieve this is machine-learning potent…