Backpropagation-free training of deep physical neural networks
Recent successes in deep learning for vision and natural language processing are
attributed to larger models but come with energy consumption and scalability issues. Current …
attributed to larger models but come with energy consumption and scalability issues. Current …
[HTML][HTML] Switchable and simultaneous spatiotemporal analog computing with computational graphene-based multilayers
In the past few years, analog computing has experienced rapid development but mostly for a
single function. Motivated by parallel space-time computing and miniaturization, we show …
single function. Motivated by parallel space-time computing and miniaturization, we show …
Analog signal processing through space-time digital metasurfaces
In the quest to realize analog signal processing using subwavelength metasurfaces, in this
paper, we present the first demonstration of programmable time-modulated metasurface …
paper, we present the first demonstration of programmable time-modulated metasurface …
Parallel wave-based analog computing using metagratings
Wave-based signal processing has witnessed a significant expansion of interest in a variety
of science and engineering disciplines, as it provides new opportunities for achieving high …
of science and engineering disciplines, as it provides new opportunities for achieving high …
Time derivatives via interconnected waveguides
Electromagnetic wave-based analogue computing has become an interesting computing
paradigm demonstrating the potential for high-throughput, low power, and parallel …
paradigm demonstrating the potential for high-throughput, low power, and parallel …
Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement
Wave-based analog signal processing holds the promise of extremely fast, on-the-fly, power-
efficient data processing, occurring as a wave propagates through an artificially engineered …
efficient data processing, occurring as a wave propagates through an artificially engineered …
Generalized Huygens' Condition as the Fulcrum of Planar Nonlocal Omnidirectional Transparency: From Meta‐Atoms to Metasurfaces
Fresnel reflection has been known for centuries to fundamentally impede efficient
transmittance across planar interfaces, especially at grazing incidence. In this work, the …
transmittance across planar interfaces, especially at grazing incidence. In this work, the …
All-Angle Nonlocal Metasurfaces on Demand: Universal Realization of Normal Susceptibilities via Multilayered Printed-Circuit-Board (PCB) Cascades
Embedding normal susceptibilities in metasurfaces (MS), in tandem with their tangential
counterparts, greatly enriches their spatial dispersion. Particularly, judicious siphoning of the …
counterparts, greatly enriches their spatial dispersion. Particularly, judicious siphoning of the …
Quadrupolar susceptibility modeling of substrated metasurfaces with application to the generalized Brewster effect
We derive generalized sheet transition conditions (GSTCs) including dipoles and
quadrupoles, using generalized functions (distributions). This derivation verifies that the …
quadrupoles, using generalized functions (distributions). This derivation verifies that the …
Physics-inspired neuroacoustic computing based on tunable nonlinear multiple-scattering
Waves, such as light and sound, inherently bounce and mix due to multiple scattering
induced by the complex material objects that surround us. This scattering process severely …
induced by the complex material objects that surround us. This scattering process severely …