I will introduce Tensor Network states and explain in this context two strategies for extracting universal quantities at conformal invariant fixed point of spin chains. One of them the scaling approach is better suited to simple tensor networks such as matrix product states and tree tensor networks. More sophisticated tensor networks (such as the MERA) allow to directly extract universal properties from the tensors of the network.
I will present results obtained through both approaches.