Is a high-throughput experimental dataset large enough to accurately estimate a statistic?
In materials science, experimental datasets are commonly used to estimate various statistics
of random variables. This paper focuses on a specific random variable: the rupture stretch of …
of random variables. This paper focuses on a specific random variable: the rupture stretch of …
High-throughput experimental method for measuring fatigue crack growth rate curve of soft materials
The fatigue properties of soft materials, including fatigue crack initiation and propagation,
fatigue life and threshold, have been a significant concern in the past few decades …
fatigue life and threshold, have been a significant concern in the past few decades …
Fracture Prediction of Hydrogel Using Machine Learning and Inhomogeneous Multiscale Network
Hydrogels are soft polymeric materials with promising applications in biomedical fields.
Understanding their fracture behavior is crucial for optimizing device design and …
Understanding their fracture behavior is crucial for optimizing device design and …