1 citations · 2 across the 4 of their papers we have counts for
4 papers
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue
Wensi Wu, Mitchell Daneker, Christian Herz +5
Computer simulation of "virtual interventions" may inform optimal valve repair for a given patient prior to intervention. However, the paucity of noninvasive methods to determine i…
Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks
Wensi Wu, Mitchell Daneker, Kevin T. Turner +2
The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full-field hetero…
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Min Zhu, Shihang Feng, Youzuo Lin +1
Full waveform inversion (FWI) infers the subsurface structure information from seismic waveform data by solving a non-convex optimization problem. Data-driven FWI has been increasi…
Effective Data Sampling Strategies and Boundary Condition Constraints of Physics-Informed Neural Networks for Identifying Material Properties in Solid Mechanics
Wensi Wu, Mitchell Daneker, Matthew A. Jolley +2
Material identification is critical for understanding the relationship between mechanical properties and the associated mechanical functions. However, material identification is a…