5 citations · 6 across the 4 of their papers we have counts for
4 papers
Data-Driven Exploration and Insights into Temperature-Dependent Phonons in Inorganic Materials
Huiju Lee, Zhi Li, Jiangang he +1
Phonons, quantized vibrations of the atomic lattice, are fundamental to understanding thermal transport, structural stability, and phase behavior in crystalline solids. Despite adv…
High-throughput computational framework for lattice dynamics and thermal transport including high-order anharmonicity: an application to cubic and tetragonal inorganic compounds
Zhi Li, Huiju Lee, Chris Wolverton +1
Accurately predicting lattice thermal conductivity (kL) from first principles remains a challenge in identifying materials with extreme thermal behavior. While modern lattice dynam…
Accelerating High-Throughput Phonon Calculations via Machine Learning Universal Potentials
Huiju Lee, Vinay I. Hegde, Chris Wolverton +1
Phonons play a critical role in determining various material properties, but conventional methods for phonon calculations are computationally intensive, limiting their broad applic…
Machine Learning a Universal Harmonic Interatomic Potential for Predicting Phonons in Crystalline Solids
Huiju Lee, Yi Xia
Phonons, as quantized vibrational modes in crystalline materials, play a crucial role in determining a wide range of physical properties, such as thermal and electrical conductivit…