151 citations · 486 across the 27 of their papers we have counts for
4 papers · 1 filter
Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
Xiaolong Ma, Xu Dong, Ashley Tarrant +5
High-quality observations of hub-height winds are valuable but sparse in space and time. Simulations are widely available on regular grids but are generally biased and too coarse t…
Rapid detection of rare events from in situ X-ray diffraction data using machine learning
Weijian Zheng, Jun-Sang Park, Peter Kenesei +7
High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk form…
fairDMS: Rapid Model Training by Data and Model Reuse
Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu +7
Extracting actionable information rapidly from data produced by instruments such as the Linac Coherent Light Source (LCLS-II) and Advanced Photon Source Upgrade (APS-U) is becoming…
Fast and accurate learned multiresolution dynamical downscaling for precipitation
Jiali Wang, Zhengchun Liu, Ian Foster +3
This study develops a neural network-based approach for emulating high-resolution modeled precipitation data with comparable statistical properties but at greatly reduced computati…