Publications, Activities, and Awards
- Discovery of inorganic solids with desired structure motifs guided by machine learning
- Discovery of inorganic solids with desired structure motifs guided by machine learning
- Discovery of Li-containing compounds with channel structures guided by machine learning
- Discovery of ternary antimonides A–Al–Sb (A = Rb or Cs) with desired structural motifs guided by machine learning
- Expanding the compositional space of quaternary multi-principal element alloys through interpretable machine learning and experimental validation
- Materials discovery of intermetallics through machine learning: Experimental validation and interpretable models
- Materials discovery through machine learning: Experimental validation and interpretable models
- Predicting thermoelectric figures-of-merit for half-Heusler compounds using machine learning
- Revealing hidden patterns through chemical intuition and interpretable machine learning: A case study of binary rare-earth intermetallics RX
- Revealing hidden patterns through chemical intuition and interpretable machine learning: A case study of binary rare-earth intermetallics RX