PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.
Enables AI agents to design RF filters and SMPS-EMC from spec using three MCP servers that drive LTspice, Qucs-S, and scikit-rf, with closed-form synthesis, real-component optimization, and CISPR-aware compliance checking.
Enables AI agents to verify technical claims against supplied evidence, identify unsupported assumptions and contradictions, and recommend the smallest next check before acting.
Turns CST Studio Suite into an AI-controllable electromagnetic design lab, enabling conversational THz metamaterial absorber design, unit-cell automation, Floquet port control, batch solve with checkpoint-resume, and surrogate-model predictions.
Enables engineers to convert antenna papers/diagrams and natural language specs into auditable, versionable HFSS Python modeling code, with optional simulation and parametric optimization.
Enables AI-assisted design of antennas and electromagnetic structures using openEMS FDTD simulation, with analytical dimension calculators and full-wave script generation.