A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.
Physical models are incorporated to improve accuracy, speed of training & generalization.
A recently developed architecture that demonstrates the ability of NNs to approximate mathematical operators.
Serves as a mapping from input variables to the output quantity of interest, a fast surrogate.
Anailytica is a deep tech, university spin-off that sits at the intersection of artificial intelligence and engineering applications.
We are a global team of engineers, mathematicians and visionaries based in North America, Europe and Asia.
