Mitchell Daneker
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View article: ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue.
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue. Open
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 in vivo mechanical parameters of valves limits the accuracy …
View article: ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue Open
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 in vivo mechanical parameters of valves limits the accuracy …
View article: Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks
Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics‐Informed Neural Networks Open
The heterogeneous micromechanical properties of biological tissues have profound implications across diverse medical and engineering domains. However, identifying full‐field heterogeneous elastic properties of soft materials using traditio…
View article: Effective Data Sampling Strategies and Boundary Condition Constraints of Physics-Informed Neural Networks for Identifying Material Properties in Solid Mechanics
Effective Data Sampling Strategies and Boundary Condition Constraints of Physics-Informed Neural Networks for Identifying Material Properties in Solid Mechanics Open
Material identification is critical for understanding the relationship between mechanical properties and the associated mechanical functions. However, material identification is a challenging task, especially when the characteristic of the…
View article: Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks
Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks Open
The dynamics of systems biological processes are usually modeled by a system of ordinary differential equations (ODEs) with many unknown parameters that need to be inferred from noisy and sparse measurements. Here, we introduce systems-bio…