  The imminent impact of immersive technologies in society urges for active
research in real-time and interactive physics simulation for virtual worlds to
be realistic. In this context, realistic means to be compliant to the laws of
physics. In this paper we present a method for computing the dynamic response
of (possibly non-linear and dissipative) deformable objects induced by
real-time user interactions in mixed reality using deep learning. The
graph-based architecture of the method ensures the thermodynamic consistency of
the predictions, whereas the visualization pipeline allows a natural and
realistic user experience. Two examples of virtual solids interacting with
virtual or physical solids in mixed reality scenarios are provided to prove the
performance of the method.
