Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …

We introduce PhysGaussian a new method that seamlessly integrates physically grounded
Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis …

Physics-based fluid simulation has played an increasingly important role in the computer
graphics community. Recent methods in this area have greatly improved the generation of …

As one of the arbitrary Lagrangian–Eulerian methods, the material point method (MPM)
owns intrinsic advantages in simulation of large deformation problems by combining the …

Predicting the mechanical performance of concrete from composition and processing
remains a grand challenge. Our work focuses on predicting damage evolution in ultrahigh …

We propose a hybrid neural network and physics framework for reduced-order modeling of
elastoplasticity and fracture. State-of-the-art scientific computing models like the Material …

Zero-knowledge proof is a critical cryptographic primitive. Its most practical type, called zero-
knowledge Succinct Non-interactive ARgument of Knowledge (zkSNARK), has been …

The accurate description of the strain rate and temperature dependent response of metals is
a perpetual quest in crashworthiness and forming applications. In the present study …

Additive manufacturing (AM), or 3D printing, of metals is transforming the fabrication of
components, in part by dramatically expanding the design space, allowing optimization of …

A phase-field implicit material point method with the convected particle domain interpolation
(PF-ICPDI) is proposed to model the brittle–ductile failure transition in pressure-sensitive …