AI guided discovery of nonlinear optical materials with applications in quantum computing and quantum communication | Available Intellectual Property | Rensselaer Polytechnic Institute

AI guided discovery of nonlinear optical materials with applications in quantum computing and quantum communication

RPI ID:
2024-032-301

Innovation Summary:
This technology enables the identification and characterization of two-dimensional (2D) materials that exhibit second harmonic generation (SHG), a nonlinear optical property useful in photonics and quantum applications. The system uses computational and experimental methods to screen candidate materials for SHG activity. It supports the development of ultrathin optical components with enhanced frequency-doubling capabilities. The approach is compatible with integrated photonic platforms and nanoscale devices.

Challenges / Opportunities:
Most known 2D materials lack strong nonlinear optical responses, limiting their use in advanced photonic systems. This invention addresses the need for discovering new SHG-active materials with atomic-scale thickness. It opens opportunities for miniaturized optical modulators, frequency converters, and quantum light sources. The method also supports scalable material discovery for next-generation optoelectronics.

Key Benefits / Advantages:
✔ Identifies SHG-active 2D materials
✔ Enables ultrathin nonlinear optical components
✔ Supports integration into photonic and quantum systems
✔ Combines computational and experimental screening

Applications:
• Integrated photonics and quantum optics

Keywords:
2D materials, second harmonic generation, nonlinear optics, photonics, quantum devices, material discovery

Intellectual Property:
WO2025102020A1 (Application PCT/US2024/055314), Published November 11, 2024

Patent Information:
Inventors:
Trevor David Rhone
Keywords:
AI
materials discovery
nonlinear optical materials
quantum communication
quantum computing
For Information, Contact:
Natasha Sanford
Licensing Associate
Rensselaer Polytechnic Institute
sanfon@rpi.edu