Neural Network-Enhanced Photonic Circuit Design ID: 2018-048
A groundbreaking invention that leverages neural networks to dramatically improve the efficiency and effectiveness of photonic circuit design.
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Technology Overview
This technology integrates neural networks with photonic integrated circuit design to significantly reduce simulation times from days to seconds, making it possible to solve inverse problems efficiently. It includes a user-friendly simulation toolbox that combines deep learning solvers with existing software packages, promoting accessibility and collaboration in photonics development.
Key Advantages
- Drastically reduces simulation time from approximately two days to mere seconds
- Enables efficient solving of inverse problems in circuit design
- Integrates with existing software packages for a comprehensive design toolbox
- Designed to be user-friendly for both novice and experienced engineers
Problems Addressed
- Lengthy simulation times for photonic circuits
- Complexity and inaccessibility of traditional photonic circuit design methods
- Economic and academic barriers to advanced optical engineering
Market Applications
- Photonic integrated circuit design and simulation
- Optical engineering education and research
- Commercial photonics product development
- Collaborative engineering projects requiring fast and effective simulation tools
Additional Information
Technology ID: 2018-048
Sell Sheet: Download the Sell Sheet here
Market Analysis: Contact us for a more in-depth market report
Date Published: 28 March, 2025
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