To overcome limitations of flexible thermoacoustic devices in low-frequency emission and sensing, we present a resonance-adjustable graphene sound device (RAGSD) inspired by frog vocal sacs. Integrating laser-induced graphene (LIG) with a deformable ...
Wearable acoustic sensors offer a promising solution for effective communication for individuals with speech impairments by calibrating throat vibrations and converting them to synthesized speech. We developed a new type of piezoresistive acoustic se...
In this study, we introduce a machine learning optimized graphene-based biosensor tailored for the early and accurate detection of breast cancer, aiming to elevate diagnostic reliability and clinical efficacy. The device employs a multilayer Ag-SiO₂-...
Laser-induced graphene (LIG) has emerged as a versatile and sustainable nanomaterial for biomedical applications, offering a unique combination of tunable surface chemistry, high electrical conductivity, mechanical flexibility, and biocompatibility. ...
Early diagnosis of Alzheimer's disease (AD) requires blood biomarker tests sensitive to femtogram/mL concentrations. Graphene field-effect transistors (GFETs) are promising for this application, but suffer from device-to-device variability and requir...
The development of highly selective gas sensors operating at room temperature with detection capabilities in the parts-per-billion (ppb) range is one of fundamental and technological interest across diverse fields. Conventional sensor arrays often su...
This work introduces a high-performance graphene-silver hybrid metasurface biosensor for the fast and precise detection of COVID-19. Through parametric optimization with COMSOL Multiphysics, the sensor achieves a sensitivity of 400 GHz/RIU, a figure ...
Simultaneous monitoring of dopamine (DA) and serotonin (SER) in urine offers a non-invasive route for diagnosing neurological, psychiatric, and metabolic disorders. However, their multiplexed detection at the point-of-care remains challenging due to ...
Marshall Stability (MS) is a key, yet costly and time-consuming, metric for designing asphalt concrete (AC) in general, and Graphene Oxide (GO)-modified AC in particular. To address this, this study introduces a novel hybrid machine learning framewor...
Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o...
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