Showing 1–20 of 23 results
/ Date/ Name
May 9, 2023Physics-informed neural network for seismic wave inversion in layered semi-infinite domainJul 21, 2024Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative ModelingOct 4, 2023Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEsMay 30, 2024WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence LearningJun 24, 2023SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine LearningJan 24, 2025Advancing data-driven broadband seismic wavefield simulation with multi-conditional diffusion modelJun 26, 2021PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEsDec 6, 2022An Unsupervised Machine Learning Approach for Ground-Motion Spectra Clustering and SelectionAug 2, 2022Physics-informed Deep Super-resolution for Spatiotemporal DataOct 16, 2024Model Balancing Helps Low-data Training and Fine-tuningFeb 24, 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context LearningOct 25, 2022SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domainFeb 28, 2024Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame StructuresSep 2, 2025RELift: Learned Coarse-to-Fine Propagators for Time-Dependent PDEs with Applications to Electron DynamicsJun 9, 2021Encoding physics to learn reaction-diffusion processesJan 28, 2022Discovering Nonlinear PDEs from Scarce Data with Physics-encoded LearningMar 22, 2024Reasoning-Enhanced Object-Centric Learning for VideosDec 30, 2024Conservation-informed Graph Learning for Spatiotemporal Dynamics PredictionDec 22, 2025Modeling Non-Ergodic Path Effects Using Conditional Generative Model for Fourier Amplitude SpectraOct 25, 2025HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems