Autonomous Nanophotonics Lab
Autonomy of Scientific Discovery
The Autonomous Nanophotonics Lab focuses on the development of self-driving experimental platforms that integrate artificial intelligence with nanophotonics. Our goal is to accelerate scientific discovery by automating the design, execution, and analysis of experiments.
We are developing systems where artificial intelligence drives the experimental process, navigating parameter spaces to uncover physical principles, optimize material properties, and design photonic systems with enhanced capabilities.
Our Approach: AI-Driven Experimentation
Our research integrates machine learning with experimental photonics to enable:
- Autonomous experimentation: We utilize AI to orchestrate ultrafast spectroscopy, structured light generation, and nanofabrication, allowing for the exploration of light–matter interactions.
- Interpretable discovery: We develop algorithms designed to extract physical laws from high-dimensional experimental data, aiming to provide actionable scientific insights.
- Reconfigurable photonic hardware: Our work spans quantum emitters, liquid-crystal metasurfaces, and photonic Ising machines, aiming for high-speed computation and energy efficiency.
Research Areas
Our research contributes to several key areas:
- Quantum information systems: Developing deterministic single-photon sources with precise nanoscale control.
- Ultrafast optical computing: Implementing optimization and AI inference tasks using photonic hardware.
- Intelligent LiDAR and imaging: Utilizing electrically reconfigurable metasurfaces for applications in autonomous vehicles and AR/VR.
- Self-driving scientific instruments: Developing tools available to the research community through the Center for Integrated Nanotechnologies (CINT).
Collaboration Opportunities
We are part of the Center for Integrated Nanotechnologies (CINT), a DOE Nanoscale Science Research Center. Researchers interested in using our facilities can submit a new user proposal here.
We invite collaborations with prospective students, CINT users, and industry partners interested in autonomous scientific tools and nanophotonics.
We are transitioning scientific discovery into an autonomous era.
Highlighted Publications
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery
Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Sub-picosecond steering of ultrafast incoherent emission from semiconductor metasurfaces
Nature Photonics 17 (7), 588-593, 2023
Self-driving lab discovers principles for steering spontaneous emission
Nature Communications, 2025
Lab News
- February 2026 — New arXiv preprint: Boltzmann Reinforcement Learning for Noise resilience in Analog Ising Machines.
- January 2026 — ACS Photonics publishes 'Pulse-driven photonic transitions and nonreciprocity in space-time modulated metasurfaces'.
- January 2026 — Invited talk at SPIE Photonics West 2026 in San Francisco: Self-driving lab discovers principles for steering spontaneous emission from metasurfaces.
- January 2026 — Nano Letters publishes 'Voltage-Tunable Nonlocal Metasurface for Enhanced Outcoupling of Emission from Quantum Dots'.
- January 2026 — International Journal of Mechanical Sciences publishes research on learning interpretable surface elasticity properties via neural network equation learners.
- December 2025 — Nature Communications publishes 'Self-driving lab discovers principles for steering spontaneous emission'.
- October 2025 — ACS Nano publishes breakthrough on high-Q optical antennas embedded in epsilon-near-zero cavities.
- August 2025 — Advanced Intelligent Systems publishes perspective on codesign for optical AI and scientific computing.
- August 2025 — Preprint 'Deep Generative Learning of Magnetic Frustration in Artificial Spin Ice' released on arXiv.
- July 2025 — Advanced Optical Materials: 'Efficient single-photon emission via quantum-confined charge funneling to quantum dots' published.
- June 2025 — Advanced Optical Materials review on 'Orchestrating Spontaneous Emission With Metasurfaces' published.
- April 2025 — AutoSciLab paper accepted at AAAI 2025 (top 5% of 13,000 submissions) - self-driving lab for interpretable scientific discovery.
- January 2025 — High-Q size-independent optical antennas via zero-index material dispersion engineering - new preprint on arXiv.
- December 2024 — Press release on quantum-dot metasurface LEDs featured on Phys.org.
- October 2024 — Nano Letters: Control of quantized spontaneous emission from single GaAs quantum dots in Huygens' metasurfaces.
- August 2024 — Self-driving lab discovers principles for steering spontaneous emission - featured on arXiv.
- May 2024 — Two invited talks at CLEO 2024: Ultrafast photonic streaking and self-driving lab high-efficiency emission.
- April 2024 — Mie metasurfaces for enhancing photon outcoupling from single quantum emitters published in Nanophotonics.
- January 2024 — Journal of Creativity publishes 'AI for Technoscientific Discovery: A Human-Inspired Architecture.'
- October 2023 — Invited seminar at University of New Mexico on 'Active Control of Spontaneous Emission from Semiconductor Metasurfaces.'
- July 2023 — Nature Photonics cover article: Sub-picosecond steering of ultrafast incoherent emission from semiconductor metasurfaces.
- January 2023 — IEEE WACV 2023: Learning incoherent light emission steering using generative models.
- November 2022 — Nano Letters: Terahertz pulse generation with binary phase control in nonlinear InAs metasurfaces.
- March 2022 — ACS Photonics: Cascaded optical nonlinearities in dielectric metasurfaces.
- June 2021 — Nature Communications: Light-emitting metalenses and meta-axicons for focusing and beaming of spontaneous emission.
