Abstract: Microplastic (MP) contamination has become a major concern in recent times, posing a significant threat to the environment and human health. Existing techniques for MP detection require access to expensive and specialized microscopy setups and often demand long turnaround
Abstract: Due to the growing concerns over heavy metal contamination and its adverse effects on environmental and public health, we propose a novel approach for non-contact detection of heavy metals, integrating microwave technology with bacterial inhibition sensing. Our sensor platform
Abstract: Tandem neural networks for inverse design can only make single predictions, which limits the diversity of predicted structures. Here, we use conditional variational autoencoder (cVAE) for the inverse design of core–shell nanoparticles. cVAE is a type of generative neural
Abstract: Basal-bolus insulin therapy is associated with frequent injections, dosing errors, and hypoglycemia risks. Integrating continuous glucose monitoring (CGM) with insulin pumps offers several advantages. However, current CGM systems lack accuracy and have high costs. To overcome these challenges, a
Abstract: In nanophotonics, nanohole arrays (NHAs) are periodic arrangements of nanoscale apertures in thin films that provide diverse optical functionalities essential for various applications. Fully studying NHAs’ optical properties and optimizing performance demands understanding both materials and geometric parameters, which
Abstract: Sustainable agriculture, essential for global food security, calls for innovative methods to improve crop yields and conserve resources. Nanopriming, utilizing nanoparticles to enhance seed germination and growth, builds preresistance to diseases and reduces dependence on pesticides and fertilizers. Here,
Abstract: The development of wearable sensors for remote patient monitoring and personalized medicine has led to a revolution in biomedical technology. Plasmonic metasurfaces that enhance Raman scattering signals have recently gained attention as wearable sensors. However, finding a flexible, sensitive,
Abstract: Harnessing the unprecedented spatiotemporal resolution capability of light to detect electrophysiological signals has been the goal of scientists for nearly 50 years. Yet, progress toward that goal remains elusive due to lack of electro-optic translators that can efficiently convert
Abstract: A fundamental limitation of the implantable brain-machine interfaces (BMI) is the wiring requirements for power transfer and signal transmission. Existing microelectrode technologies can only record from localized sections of the brain and require implantation of invasive electrodes through cranial
Abstract: Concepts adapted from radio frequency devices have brought forth subwavelength scale optical nanoantenna, enabling light localization below the diffraction limit. Beyond enhanced light–matter interactions, plasmonic nanostructures conjugated with active materials offer strong and tunable coupling between localized electric/electrochemical/mechanical phenomena