Contact is ubiquitous and often unavoidable and yet modeling contacting systems continues
to stretch the limits of available computational tools. In part this is due to the unique hurdles …

We propose a method that leverages graph neural networks, multi-level message passing,
and unsupervised training to enable real-time prediction of realistic clothing dynamics …

We present a new method for implicit time integration of physical systems. Our approach
builds a bridge between nodal Finite Element methods and Position Based Dynamics …

We present a differentiable dynamics solver that is able to handle frictional contact for rigid
and deformable objects within a unified framework. Through a principled mollification of …

We extend the incremental potential contact (IPC) model for contacting elastodynamics to
resolve systems composed of codimensional DOFs in arbitrary combination. This enables a …

The typical elastic surface or curve simulation method takes a Lagrangian approach and
consists of three components: time integration, collision detection and collision response …

Natural creatures, from fish and cephalopods to snakes and birds, combine neural control,
sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain …

Many of the actions that we take with our hands involve self-contact and occlusion: shaking
hands, making a fist, or interlacing our fingers while thinking. This use of of our hands …

In computational structural dynamics, particularly in the presence of nonsmooth behavior,
the choice of the time-step and the time integrator has a critical impact on the feasibility of …

The large-scale mechanical behavior of woven cloth is determined by the mechanical
properties of the yarns, the weave pattern, and frictional contact between yarns. Using …