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

S Desai, S Addamane, JY Tsao, I Brener, LP Swiler, R Dingreville, Prasad P. Iyer

Proceedings of the AAAI Conference on Artificial Intelligence, 2025

Sub-picosecond steering of ultrafast incoherent emission from semiconductor metasurfaces

Prasad P. Iyer, Nicholas Karl, Sadhvikas Addamane, Sylvain D. Gennaro, Michael B. Sinclair, Igal Brener

Nature Photonics 17 (7), 588-593, 2023

Self-driving lab discovers principles for steering spontaneous emission

S. Desai, S. Addamane, J.Y. Tsao, I. Brener, R. Dingreville, P.P. Iyer

Nature Communications, 2025

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