Lie group forced variational integrator networks for learning and control of robot systems
Incorporating prior knowledge of physics laws and structural properties of dynamical
systems into the design of deep learning architectures has proven to be a powerful …
systems into the design of deep learning architectures has proven to be a powerful …
Neural network representations of multiphase Equations of State
Equations of State model relations between thermodynamic variables and are ubiquitous in
scientific modelling, appearing in modern day applications ranging from Astrophysics to …
scientific modelling, appearing in modern day applications ranging from Astrophysics to …