[Boston, Sep 12, 2025] – Flexcompute today announced the release of its RF solver on the Python client. It represents a significant step in bridging the gap between radio-frequency (RF) and photonic simulations for integrated chip design. This powerful addition to Flexcompute's EM platform enables researchers and engineers to seamlessly integrate electromagnetic and circuit-level modeling, streamlining the development of photonic integrated circuits (PICs).
Flexcompute RF provides a unified environment where users can:
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Simulate high-speed modulators and impedance-matched interconnects with accuracy and efficiency.
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Analyze coplanar waveguide property in an integrated circuit or individual device.
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Analyze electro-optic interactions, such as modulation efficiency, to optimize device performance.
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Perform signal integrity studies, identifying and resolving transmission bottlenecks.
With direct integration into Tidy3D’s multiphysics solvers, RF enables end-to-end photonic design automation—from device-level physics to system-level performance. It also supports inverse design workflows, allowing users to optimize layouts and achieve fabrication-aware designs with unprecedented ease.
“Photonic integration demands tight coupling between optical and RF domains,” said Dr. Prashanta Kharel, the Technology Strategist at Flexcompute. “By bringing RF simulation to the Python client, we’re empowering researchers and engineers to accelerate design cycles, reduce risks, and innovate faster in photonic integrated circuits.”
The new RF solver is now available through Flexcompute's Python client on the Electromagnetic platform, providing both accessibility and scalability for users working in cloud and on-premise environments.
Learn more about the features of the RF solver here.
Check the latest release in the Change Log and following RF examples:
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