Jelena Vuckovic, StanfordStanford University

SPINS Photonics

Jelena Vuckovic

Jelena Vuckovic, Stanford

Energy efficient integrated photonic systems based on inverse design Jonathan Fan, Jelena Vuckovic, Stephen Boyd (DE-AR0001212)

Our mission is to use data science methods to revolutionize the way photonic systems are

simulated and designed.

❑ Devices can be globally topology optimized through the training of generative neural

networks.

❑ Convolutional neural networks can expedite EM solvers by orders-of-magnitude faster

speeds.

Jelena Vuckovic, Stanford

Photonics inverse design

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Stanford Photonics INverse design Software (SPINS)

Vuckovic Group - Stanford OTL Docket Number: S18-012

SPINS–B (open source, 3D) on Github, http://github.com/stanfordnqp/spins-b

These WDM devices can be

designed in 3D in a few hours on

gaming GPUs

licensed from Stanford by numerous companies, government and academic labs.

Jelena Vuckovic, Stanford

Inverse-design-photonics

• Materials agnostic : silicon, diamond, and silicon carbide

Wavelength demultiplexerNat. Photon. 9, 374 – 377 (2015).

Particle acceleratorScience 367, 79 – 83 (2020)

Non-reciprocal pulse routerNat. Photon. 14, 369 – 374 (2020).

Inverse designs for foundriesACS Photonics 7, 569 – 575 (2020).

Improved traditional devices

New functionalities Fully compatible with foundry

Jelena Vuckovic, Stanford

Inverse-designed photonics for optical interconnects

Supported by DARPA PIPES

Jelena Vuckovic, Stanford

SPINS Photonics Inc

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Jelena Vuckovicco-founder and advisory board memberCurrent position: Jensen Huang Professor of Global Leadership, Professor of Electrical Engineering and by courtesy of Applied Physics, Stanford

Jesse Lu, co-founder and CEOPhD Stanford, 2013Current position: research engineer, Vuckovic Group

Jinhie Skardaco-founder and COOPhD Stanford, 2021Current position: PhD student, Vuckovic Group

Accelerate optimization by leveraging state-of-the-

art AI hardware/software platforms

Produce photonics designs unattainable by current

techniques:

• performance

• footprint

• yield

• robustness (thermal, alignment, …)

• density (# of wavelengths/modes)

• energy (active devices)

SPINS Gratings

Wavelengths: 1200 to 1350 nm

Process: GF 45 nm

Dual-polarization? Yes

Thermal range: 30-100 C

Erode/dilate range: 10 nm

Footprint: 100 x 100 microns

Grating Structure Found