5 papers
Power law scaling for classification accuracy in physical neural networks
Andrei V. Ermolaev, Mathilde Hary, Anas Skalli +7
Physical neural networks (PNNs) harness the intrinsic complexity of physical systems to perform neural computation, potentially at speeds and energy efficiencies inaccessible to co…
Experimental Demonstration of Plasmon-Enabled Monolithic Bragg Reflectors for Infrared Light via Inverse Design
MikoÅaj Badura, MikoÅaj Janczak, MichaÅ RygaÅa +7
High-reflectivity mirrors in the mid-infrared (MIR) range are essential for next-generation optoelectronic devices but are still constrained by strain accumulation, poor thermal co…
Large-Area Metal-Integrated Grating Electrode Achieving Near 100% Infrared Transmission
Karolina Bogdanowicz, Weronika Glowadzka, Tristan Smolka +11
Highly transparent and conductive electrodes operating in the infrared (IR) are critically needed for a broad range of technologies, including light-emitting diodes, lasers and pho…
Model-free front-to-end training of a large high performance laser neural network
Anas Skalli, Satoshi Sunada, Mirko Goldmann +5
Artificial neural networks (ANNs), have become ubiquitous and revolutionized many applications ranging from computer vision to medical diagnoses. However, they offer a fundamentall…
Optical bound states in the continuum in subwavelength gratings made of an epitaxial van der Waals material
Emilia PruszyÅska-Karbownik, Tomasz FÄ s, Katarzyna BraÅko +9
High refractive index (4.4 at 1100 nm), negligibly small absorption in near-infrared spectral range, and ease of processing make MoSe a perfect material for applications in nea…