New phosphor has been consistently demanded for advances in solid state lighting and display. Conventional exploring experiment with tria...

マテリアルズインフォマティクスに関して記載する

Quasicrystals represent a class of ordered materials that have diffraction symmetry forbidden in periodic crystals. Since the first disc...

本研究では、機械学習（ML）を用いた材料インフォマティクス（MI）において、大規模な材料データの偏りが機械学習モデルに与える影響を明らかにした。特に、適用領域の概念とクラスタリングを組み合わせ、データの偏りがMLモデルの予測誤差と信頼性に影響を与えることを示した。適用領域内...

ベイズ情報基準を活用した独自のSymbolic regressionアルゴリズム

The active learning by machine learning and Bayesian optimization pipeline (ALMLBO) is a new tool rising in the experimental material dev...

In this work, we conducted machine learning on an experimental dataset of SmFe12-based alloys with ThMn12-type crystal structure. The dat...

The concept of material informatics is becoming more advanced and prospective in research on magnetic materials. This can be evidenced by...

This paper reports a machine learning approach for evaluating micromagnetic and microstructural parameters from demagnetization curves of...

Exploring vast material spaces efficiently is challenging in materials science. Autonomous methods for material search—integrating machin...