Energy
Machine learning structure preserving brackets for forecasting irreversible processes
The process learns generalized Casimirs for energy and entropy guaranteed to be conserved and nondecreasing, respectively.
FWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion Supplemental Material
Geological Reservoir: " Kimberlina Family " is built under DOE's National Risk Assessment Program
FWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion Chengyuan Deng
Full waveform inversion (FWI) is widely used in geophysics to reconstruct high-resolution velocity maps from seismic data. The recent success of data-driven FWI methods results in a rapidly increasing demand for open datasets to serve the geophysics community.
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
In comparison, it only takes 0.06s (0.2% of time) for