268 citations · 656 across the 11 of their papers we have counts for
11 papers
Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment
Yuan Gong, Ziyi Chen, Iek-Heng Chu +2
Automatic pronunciation assessment is an important technology to help self-directed language learners. While pronunciation quality has multiple aspects including accuracy, fluency,…
Deep Neural Networks for Accurate Predictions of Garnet Stability
Weike Ye, Chi Chen, Zhenbin Wang +2
Predicting the stability of crystals is one of the central problems in materials science. Today, density functional theory (DFT) calculations are the computational tool of choice t…
Predicting the Volumes of Crystals
Iek-Heng Chu, Sayan Roychowdhury, Daehui Han +2
New crystal structures are frequently derived by performing ionic substitutions on known crystal structures. These derived structures are then used in further experimental analysis…
Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
Chi Chen, Zhi Deng, Richard Tran +3
In this work, we present a highly accurate spectral neighbor analysis potential (SNAP) model for molybdenum (Mo) developed through the rigorous application of machine learning tech…
Electronic Structure Descriptor for Discovery of Narrow-Band Red-Emitting Phosphors
Zhenbin Wang, Iek-Heng Chu, Fei Zhou +1
Narrow-band red-emitting phosphors are a critical component in phosphor-converted light-emitting diodes for highly efficient illumination-grade lighting. In this work, we report th…
All-electron self-consistent GW in the Matsubara-time domain: implementation and benchmarks of semiconductors and insulators
Iek-Heng Chu, Jonathan P. Trinastic, Yun-Peng Wang +4
The GW approximation is a well-known method to improve electronic structure predictions calculated within density functional theory. In this work, we have implemented a computation…