3 citations · 3 across the 4 of their papers we have counts for
4 papers
GPUTB: Efficient Machine Learning Tight-Binding Method for Large-Scale Electronic Properties Calculations
Yunlong Wang, Zhixin Liang, Chi Ding +5
The high computational cost of ab-initio methods limits their application in predicting electronic properties at the device scale. Therefore, an efficient method is needed to map t…
Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework
Zhixin Liang, Yunlong Wang, Chi Ding +4
The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations…
LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction
Chi Ding, Qingchao Zhang, Ge Wang +2
We propose a learnable variational model that learns the features and leverages complementary information from both image and measurement domains for image reconstruction. In parti…
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction
Chi Ding, Qingchao Zhang, Ge Wang +2
We propose a novel Learned Alternating Minimization Algorithm (LAMA) for dual-domain sparse-view CT image reconstruction. LAMA is naturally induced by a variational model for CT re…