Direct Inference of Nuclear Equation-of-State Parameters from Gravitational-Wave Observations
This paper presents a method using multilayer perceptron neural network emulators to rapidly solve Tolman-Oppenheimer-Volkoff equations within the PyCBC framework, enabling the direct inference of nuclear equation-of-state parameters from gravitational-wave data with a nearly two-orders-of-magnitude speedup and negligible loss of accuracy compared to traditional solvers.