Center for Integrated Nanotechnologies

Collective Effect of Color-Centers on Chiroptical Response of Carbon Nanotubes

Abstract The incorporation of color centers into carbon nanotubes (CNTs) offers a promising strategy to modulate their optical activity, particularly by tuning emission energies and enhancing photoluminescence efficiency. Here, our computational study aims to investigate the effe...

Leveraging Mechanical Resonances for the Selection of Promising Materials in Complex Phase Spaces

ABSTRACT The “high‐entropy” paradigm has been applied to a central challenge in materials science, the design of new functional materials with enhanced performance for targeted applications, with some notable successes over the last twenty years. However, the immensity of the hig...

Generative AI‐Enabled Discovery and Experimental Demonstration of Ultra‐Broadband Epsilon‐Near‐Zero Perfect Absorbers

ABSTRACT Artificial intelligence is reshaping the discovery and engineering of photonic materials. Here, we introduce a data‐driven framework that employs a generative deep neural network to create ultrathin, multilayer epsilon‐near‐zero absorbers with record‐breaking broadband p...

Efficient Generation of Entangled Photons in the Telecommunications Range Using Nonlinear Metasurfaces Integrated With ScAlN/GaN Heterostructures

ABSTRACT Entangled photons provide non‐classical correlations that enable measurement sensitivities beyond classical limits, scalable fault‐tolerant quantum computation, and fundamentally secure quantum communication, making them a foundational necessity for next‐generation quant...

Hyperspectral dual-comb compressive ghost imaging with deep learning reconstruction

Ghost imaging reframes image formation by replacing pixelated sensors with correlation measurements between structured illumination and a single-pixel detector, enabling capabilities that are difficult or impossible for conventional cameras. This powerful technique is inherently...

Quantum-well metasurface for free-space-accessible enhanced nonlinear polarization

Abstract Nonlinear frequency conversion underpins important technologies such as telecommunications and quantum computation; however, weak nonlinearities and architectures that resist miniaturization currently limit devices’ efficiency and widespread adoption. Here we combine a b...

Disorder‐Broadened Topological Hall Phase and Anomalous Hall Scaling in FeGe

ABSTRACT Magnetic skyrmions are promising candidates for next‐generation spintronic memory and logic due to their nanoscale size and topological stability. However, skyrmion‐based devices remain limited by narrow operating temperature windows that typically exclude cryogenic regi...

ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity

Diffractive optical neural networks (DONNs) have demonstrated unparalleled energy efficiency and parallelism by processing information directly in the optical domain. However, their computational expressivity is constrained by static, passive diffractive phase masks that lack eff...