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Electronic excited states from physically-constrained machine learning
Data-driven techniques are increasingly used to replace electronic-structure calculations of matter. In this context, a relevant question is whether machine learning (ML) should... -
Electronic excited states from physically-constrained machine learning
Data-driven techniques are increasingly used to replace electronic-structure calculations of matter. In this context, a relevant question is whether machine learning (ML) should... -
Magnetism in a charge doped cuprate chain
We have recently succeeded in measuring the excitation spectrum of charge doped cuprate chains with a 90 degree Cu-O-Cu bonding geometry. This study resolved a long standing... -
Magnetic excitations in mesoporous hematite
We have recently prepared mesoporous forms of various metals oxides. In some cases the imposition of a mesostructure changes other properties of the material significantly. One...