This　paper　presents　an　efficient　automated　multi-physics　modeling　technique　for　microwave　components　using　artificial　neural　network　(ANN).　Automated　model　generation　(AMG)　method　is　expanded　from　developing　single　electromagnetic　(EM)　domain　parametric　ANN　model　to　EM-centric　multiphysics　domain　parametric　ANN　model.　This　technique　integrates　all　subtasks　of　multiphysics　parametric　modeling　into　a　unified　algorithm,　including　automated　multiphysics　ANN　structure　adjustment　and　automated　multiphysics　data　sampling/generation.　To　further　reduce　the　time　comsumption　of　multiphysics　data　sampling　and　multiphysics　simulations,　parallel　computation　is　utilized　to　drive　multiple　EM-centric　multiphysics　evaluations　simultaneously　on　multiple　computers.　The　presented　technique　can　effectively　reduce　the　time　of　multiphysics　ANN　modeling　and　the　consumption　of　manpower　compared　to　manual　multiphysics　modeling　techniques.　Finally,　we　use　a　multiphysics　parametric　modeling　example　of　a　microwave　filter　to　demonstrate　the　advantage　of　presented　technique.　©　2023　IEEE.