Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests

Multiscale fluid–structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices

Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests

Solving large numerical substructures in real‐time hybrid simulations using proper orthogonal decomposition

Multiscale fluid–structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices

Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests

Solving large numerical substructures in real‐time hybrid simulations using proper orthogonal decomposition

Solving large numerical substructures in real‐time hybrid simulations using proper orthogonal decomposition

Data generation framework for inverse modeling of nonlinear systems in structural dynamics applications

Effects of variational formulations on physics‐informed neural network performance in solid mechanics

Data generation framework for inverse modeling of nonlinear systems in structural dynamics applications

Lateral vibration control of monopile supported offshore wind turbines with toroidal tuned liquid column dampers