Blog
RHX BLOG

How Far AI Has Come in Multiphysics Simulation

May 24, 20261 min read

MultiphysicsAI CAENeural OperatorFSIThermal리서치
Multiphysics
How Far AI Has Come in Multiphysics Simulation

Visual module

Visual review map

A compact map of the article: decision, input, validation, and output.

decision-ready evidence
01

Question

제품 결정으로 바꿀 검토 질문

02

Inputs

형상, 재료, load case, 경계조건

03

Gate

V&V, 수렴, uncertainty 확인

04

Output

보고서, 위험 항목, 다음 조치

AI helps multiphysics most when it accelerates bounded layers: ROMs, surrogate sweeps, field interpolation, and super-resolution. Coupling, interface residuals, nonlinear regimes, and validation gates still decide whether the result can support engineering decisions.

How Far AI Has Come in Multiphysics Simulation | RHX.LAB