1 citations · 1 across the 5 of their papers we have counts for
7 papers
A dynamic mathematical model for sub-lethal damage recovery: Integrating recovery processes into multi-target theory to visualize damage states
Renta Shibata, Fuminobu Sato, Yoko Akiyama +1
Quantifying the biological effects of radiation is essential for radiotherapy and radiation protection. While research has centered on statistical analyses of experimental data, th…
Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics
Yi Zhu, Su Chen, Xiaojun Li
Numerical site-response predictions often deviate from observations, yet correcting these discrepancies is difficult because records are limited in both sensor coverage and number…
Discovering Latent Response Laws in Forced Physical Systems
Yi Zhu, Su Chen, Xiaojun Li +1
Governing equations provide compact descriptions of physical systems, yet the variables in which they are simple are often hidden in high-dimensional measurements. This challenge i…
Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms
Yi Ding, Jinjun Hu, Su Chen +5
Performance-based seismic risk assessment requires three-component acceleration histories compatible with specified source, path, and site conditions. Conventional ground-motion pr…
Wavelet Packet-Based Diffusion Model for Ground Motion Generation with Multi-Conditional Energy and Spectral Matching
Yi Ding, Su Chen, Jinjun Hu +3
Temporal energy distribution strongly affects nonlinear structural response and cumulative damage. We propose a multi-conditional diffusion framework for ground motion synthesis th…
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen, Yi Ding, Hiroe Miyake +1
In scientific machine learning, the task of identifying partial differential equations accurately from sparse and noisy data poses a significant challenge. Current sparse regressio…
Physics-informed Neural Networks with Fourier Features for Seismic Wavefield Simulation in Time-Domain Nonsmooth Complex Media
Yi Ding, Su Chen, Hiroe Miyake +1
Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural…