Person
Changpeng Lin
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Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table
Changpeng Lin, Hong Zhang, Chen Shen, Yong Zhao
Existing machine learning potentials for predicting phonon properties of crystals are typically limited on a material-to-material basis, primarily due to the exponential scaling of model complexity with the number of atomic species. We address this bottlen ...
NATURE PORTFOLIO2023Anti-Jahn-Teller effect induced ultrafast insulator to metal transition in perovskite BaBiO3
The Jahn-Teller (JT) effect involves the ions M with a degenerate electronic state distorting the corner-sharing MO6 octahedra to lift the degeneracy, inducing strong coupling of electrons to lattice, and mediating the exotic properties in perovskite oxide ...
NATURE PORTFOLIO2022General invariance and equilibrium conditions for lattice dynamics in 1D, 2D, and 3D materials
Nicola Marzari, Changpeng Lin, Samuel Poncé
The long-wavelength behavior of vibrational modes plays a central role in carrier transport, phonon-assisted optical properties, superconductivity, and thermomechanical and thermoelectric properties of materials. Here, we present general invariance and equ ...
NATURE PORTFOLIO2022