Quanscient has introduced an agentic AI approach for multiphysics simulation workflows in engineering. The company presents a Python-based software development kit (SDK) that enables AI agents to set up, run, analyze, and optimize simulations using natural language instructions instead of traditional graphical interfaces.
The concept is demonstrated through a piezoelectric micromachined ultrasonic transducer (PMUT) use case, where the AI agent autonomously handled geometry creation, meshing, parameter optimization, result analysis, and report generation. The development reflects an ongoing industry shift toward AI-assisted simulation, cloud-native engineering workflows, and automated design exploration for complex hardware systems.
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