PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits

Photonic integrated circuits (PICs) are emerging as a key hardware platform for high-bandwidth, energy-efficient optical interconnects and for computing and sensing workloads increasingly relevant to large-scale AI systems. Recent advances in photonic inverse design have demonstrated the ability to automatically synthesize compact, high-performance photonic components that surpass conventional, hand-designed structures, offering a promising path toward scalable and functionality-rich photonic hardware. However, the practical deployment of inverse-designed PICs is bottlenecked by manufacturability: their irregular, subwavelength geometries are highly sensitive to fabrication variations, leading to large performance degradation, low yield, and a persistent gap between simulated optimality and fabricated performance. Unlike electronics, where foundries provide mature design-for-manufacturing (DFM) pipelines that correct masks and shield designers from process details, photonics lacks a systematic, flexible mask optimization flow. Fabrication deviations in photonic components cause large optical response drift and compounding error in cascaded circuits, while calibrating fabrication models remains costly and expertise-heavy, often requiring repeated fabrication cycles that are inaccessible to most designers. To bridge this gap, we introduce PRISM , a photonics-informed inverse lithography workflow that makes photonic mask optimization data-efficient, reliable, and optics-informed. PRISM (i) synthesizes compact, informative calibration patterns to minimize required fabrication data, (ii) trains a physics-grounded differentiable fabrication digital twin, enabling gradient-based optimization, and (iii) performs photonics-informed inverse mask optimization that prioritizes performance-critical features beyond geometry matching. Across multiple inverse-designed components with both electron-beam lithography and deep ultra-violet photolithography processes, PRISM significantly boosts post-fabrication performance and yield while reducing calibration area and turnaround time, enabling and democratizing manufacturable and high-yield inverse-designed photonic hardware at scale.

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Publication Details

Journal
ACM Transactions on Design Automation of Electronic Systems
Published
2026-07-23
DOI
https://doi.org/10.1145/3831710
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
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article

PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits

Jiaqi Gu, Haoyu Yang, Zhaoran Huang, Tianle Xu et al.
ACM Transactions on Design Automation of Electronic Systems
Photonic and Optical Devices
article

PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits

Jiaqi Gu, Haoyu Yang, Zhaoran Huang, Tianle Xu, Hongjian Zhou, Nicholas Gangi
article en

Abstract

Photonic integrated circuits (PICs) are emerging as a key hardware platform for high-bandwidth, energy-efficient optical interconnects and for computing and sensing workloads increasingly relevant to large-scale AI systems. Recent advances in photonic inverse design have demonstrated the ability to automatically synthesize compact, high-performance photonic components that surpass conventional, hand-designed structures, offering a promising path toward scalable and functionality-rich photonic hardware. However, the practical deployment of inverse-designed PICs is bottlenecked by manufacturability: their irregular, subwavelength geometries are highly sensitive to fabrication variations, leading to large performance degradation, low yield, and a persistent gap between simulated optimality and fabricated performance. Unlike electronics, where foundries provide mature design-for-manufacturing (DFM) pipelines that correct masks and shield designers from process details, photonics lacks a systematic, flexible mask optimization flow. Fabrication deviations in photonic components cause large optical response drift and compounding error in cascaded circuits, while calibrating fabrication models remains costly and expertise-heavy, often requiring repeated fabrication cycles that are inaccessible to most designers. To bridge this gap, we introduce PRISM , a photonics-informed inverse lithography workflow that makes photonic mask optimization data-efficient, reliable, and optics-informed. PRISM (i) synthesizes compact, informative calibration patterns to minimize required fabrication data, (ii) trains a physics-grounded differentiable fabrication digital twin, enabling gradient-based optimization, and (iii) performs photonics-informed inverse mask optimization that prioritizes performance-critical features beyond geometry matching. Across multiple inverse-designed components with both electron-beam lithography and deep ultra-violet photolithography processes, PRISM significantly boosts post-fabrication performance and yield while reducing calibration area and turnaround time, enabling and democratizing manufacturable and high-yield inverse-designed photonic hardware at scale.

ACM Transactions on Design Automation of Electronic Systems
Rensselaer Polytechnic Institute (US), Arizona State University (US)
Affordable and clean energy
Openalex Percentile: Top 16%
Photonic and Optical Devices
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