5 papers
MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design
S. Rodionov, A. Burguete-Lopez, M. Makarenko +3
Foundation models (FM) are transforming artificial intelligence by enabling generalizable, data-efficient solutions across different domains for a broad range of applications. Howe…
Towards real-time additive-free dopamine detection at mM with hardware accelerated platform integrated on camera
Ning Li, Qizhou Wang, Zhao He +3
Tracing physiological neurotransmitters such as dopamine (DA) with detection limits down to mM is a critical goal in neuroscience for studying brain funct…
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang +4
Hyperspectral imaging has attracted significant attention to identify spectral signatures for image classification and automated pattern recognition in computer vision. State-of-th…
Broadband vectorial ultra-flat optics with experimental efficiency up to 99% in the visible via universal approximators
Fedor Getman, Maksim Makarenko, Arturo Burguete-Lopez +1
Integrating conventional optics into compact nanostructured surfaces is the goal of flat optics. Despite the enormous progress of this technology, there are still critical challeng…
Generalized Maxwell projections for multi-mode network Photonics
M. Makarenko, A. Burguete-Lopez, F. Getman +1
The design of optical resonant systems for controlling light at the nanoscale is an exciting field of research in nanophotonics. While describing the dynamics of systems with few r…