A review on machine learning-guided design of energy materials
The development and design of energy materials are essential for improving the efficiency,
sustainability, and durability of energy systems to address climate change issues. However …
sustainability, and durability of energy systems to address climate change issues. However …
Integrating machine learning with advanced processing and characterization for polycrystalline materials: a methodology review and application to Iron-based …
In this review, we present a new set of machine learning-based materials research
methodologies for polycrystalline materials developed through the Core Research for …
methodologies for polycrystalline materials developed through the Core Research for …
Superstrength permanent magnets with iron-based superconductors by data-and researcher-driven process design
Iron-based high-temperature (high-T c) superconductors have good potential to serve as
materials in next-generation superstrength quasipermanent magnets owing to their …
materials in next-generation superstrength quasipermanent magnets owing to their …
Distinguishing Elements at the Sub‐Nanometer Scale on the Surface of a High Entropy Alloy
Materials in crystalline form possess translational symmetry (TS) when the unit cell is
repeated in real space with long and short range orders. The periodic potential in the crystal …
repeated in real space with long and short range orders. The periodic potential in the crystal …
Using k-means to sort spectra: Electronic order mapping from scanning tunneling spectroscopy measurements
V King, S Choi, D Chen, B Stuart, J Kim… - Applied Physics …, 2024 - pubs.aip.org
Hyperspectral imaging techniques have a unique ability to probe the inhomogeneity of
material properties whether driven by compositional variation or other forms of phase …
material properties whether driven by compositional variation or other forms of phase …
[HTML][HTML] Atomic-scale electronic inhomogeneity in single-layer iron chalcogenide alloys revealed by machine learning of STM/S data
Chemical pressure from the isovalent substitution of Se by a larger Te atom in the epitaxial
film of iron chalcogenide FeSe can effectively tune its superconducting, topological, and …
film of iron chalcogenide FeSe can effectively tune its superconducting, topological, and …