Dynamic fracture is an important area of materials analysis, assessing the atomic-level
mechanisms by which materials fail over time. Here, we focus on brittle materials failure and …

Understanding fracture is critical to the design of resilient nanomaterials. Molecular
dynamics offers a way to study fracture at an atomistic level, but is computationally …

We report a deep learning method to predict high-resolution stress fields from material
microstructures, using a novel class of progressive attention-based transformer diffusion …

Void nucleation on grain boundary (GB) has been regarded as an important mechanism of
damage initiation in ductile polycrystalline materials under dynamic loading. The high …

A general nonlocal coupling technique between an atomistic (AM) model and the bond-
based peridynamic (PD) model is proposed, based on the Arlequin framework. This …

The brittle failure of components weakened by sharp or blunt notches is a topic of active and
continuous research. Notches created during the design and manufacturing of structural …

We investigate the numerical modeling method of columnar polycrystalline ice based on
peridynamics. A polycrystal with relatively uniform area is established with the Voronoi …

Polylactic acid (PLA) nanofibrous networks have gained substantial interest across various
engineering and scientific disciplines, such as tissue engineering, drug delivery, and …

Materials modeling technologies are fundamental to explore, understand, and ultimately
predict materials behavior. They are essential to solve challenges posed by the need to …

Spall strength characterizes the tensile performance of materials under high strain rates.
However, theoretical prediction of the spall strength has long been a big challenge since it …