2 citations · 4 across the 4 of their papers we have counts for
4 papers
EDBench: Large-Scale Electron Density Data for Molecular Modeling
Hongxin Xiang, Ke Li, Mingquan Liu +7
Existing molecular machine learning force fields (MLFFs) generally focus on the learning of atoms, molecules, and simple quantum chemical properties (such as energy and force), but…
Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising
Jianxin Xie, Wonhee Ko, Rui-Xing Zhang +1
Image denoising is a critical task in various scientific fields such as medical imaging and material characterization, where the accurate recovery of underlying structures from noi…
The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
Jianxin Xie, Bing Yao, Zheyu Jiang
Soil moisture is a key hydrological parameter that has significant importance to human society and the environment. Accurate modeling and monitoring of soil moisture in crop fields…
Physics-constrained Active Learning for Soil Moisture Estimation and Optimal Sensor Placement
Jianxin Xie, Bing Yao, Zheyu Jiang
Soil moisture is a crucial hydrological state variable that has significant importance to the global environment and agriculture. Precise monitoring of soil moisture in crop fields…