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Photonic Physically Unclonable Function for True Random Number Generation and Biometric ID for Hardware Security Applications

Researchers at the University of California, Davis have developed a technology that introduces a novel approach to hardware security using photonic physically unclonable functions for true random number generation and biometric ID.

Unsupervised Positron Emission Tomography (PET) Image Denoising using Double Over-Parameterization

Researchers at the University of California, Davis, have developed a novel imaging system that improves the diagnostic accuracy of PET imaging. The system combines machine learning and computed tomography (CT) imaging to reduce noise and enhance resolution. This novel technique can integrate with commercial PET imaging systems, improving diagnostic accuracy and facilitating superior treatment of various diseases.

Thin Film Thermophotovoltaic Cells

Researchers at the University of California, Davis (“UC Davis”) have developed an optical absorber/emitter for thermophotovoltaics application with a tunable emission wavelength.

Ultrahigh-Bandwidth Low-Latency Reconfigurable Memory Interconnects by Wavelength Routing

Researchers at the University of California, Davis, have developed a memory system that uses optical interconnects.

Metasurface, Metalens, and Metalens Array with Controllable Angular Field-of-View

Researchers at the University of California, Davis have developed an optical lens module that uses a metalens or a metalens array having a controllable angular field-of-view.

A Technique To Make Carbon Nanotube Electrodes

Researchers at UC Irvine have developed a novel system leveraging dielectrophoresis through nanoelectrodes for precise manipulation of nano-scale polarizable objects.

High-Precision Chemical Quantum Sensing In Flowing Monodisperse Microdroplets

      Quantum sensing is rapidly reshaping our ability to discern chemical processes with high sensitivity and spatial resolution. Many quantum sensors are based on nitrogen-vacancy (NV) centers in diamond, with nanodiamonds (NDs) providing a promising approach to chemical quantum sensing compared to single crystals for benefits in cost, deployability, and facile integration with the analyte. However, high-precision chemical quantum sensing suffers from large statistical errors from particle heterogeneity, fluorescence fluctuations related to particle orientation, and other unresolved challenges.      To overcome these obstacles, UC Berkeley researchers have developed a novel microfluidic chemical quantum sensing device capable of high-precision, background-free quantum sensing at high-throughput. The microfluidic device solves problems with heterogeneity while simultaneously ensuring close interaction with the analyte. The device further yields exceptional measurement stability, which has been demonstrated over >103s measurement and across ~105 droplets.  Greatly surpassing the stability seen in conventional quantum sensing experiments, these properties are also resistant to experimental variations and temperature shifts. Finally, the required ND sensor volumes are minuscule, costing only about $0.63 for an hour of analysis. 

A Combined Raman/Single-Molecule Junction System For Chemical/Biological Analysis

Researchers at the University of California, Davis have developed a device for multi-dimensional data extraction at the molecular level to allow one to simultaneously detect the presence of a single-molecule electrically, and to extract a chemical fingerprint to identify that molecule optically.

Enhancing Light-Matter Interactions In Mos2 By Copper Intercalation

Researchers at the University of California, Davis have developed layered 2D MoS2 nanostructures that have their light-interactive properties improved by intercalation with transition and post-transition metal atoms, specifically Copper and Tin.

Nanophotonic Perovskite Scintillator For Time-Of-Flight Gamma-Ray Detection

         Positron emission tomography (PET) is a powerful tool both in biomedical research and clinical patient care, particularly in the diagnosis of cancer, search for metastases, cancer treatment monitoring, diagnosis of diffuse diseases causing dementia, or metabolic blood flow imaging. However, the poor efficiency of current PET detectors (1-2%) requires large radiotracer doses and integration times, driving both cost and patient exposure per scan. High detector capital cost also renders PET scanners prohibitively expensive. Finally, while time-of-flight PET can enhance the spatial resolution of PET by measuring temporal correlation of detected gamma photons, the modality is limited by the latency of current gamma radiation detectors (timing resolutions of ~200-500 ps). Overall, the expense and inefficiency of available gamma radiation detectors hinder the full technological capabilities of PET and its affordable use in patient care.         To address these problems, researchers at UC Berkeley have developed a new gamma radiation detector architecture with the potential for an order of magnitude improvement in both time resolution (down to 10 ps) and efficiency. The design uses novel perovskite nanomaterials and well-established nanotechnology manufacturing methods to produce a detector at a fraction of the cost of current offerings. Together, the high efficiency and timing resolution of the nanophotonic detector design should drastically improve the spatial resolution (including by time-of-flight measurements) of PET scanners and dose-suitability for elderly patients. Benefits in affordability are multiple, lowering detector cost and as well as required radiotracer dose.

2-D Polymer-Based Device for Serial X-Ray Crystallography

Researchers at the University of California, Davis have developed a single-use chip for the identification of protein crystals using X-ray based instruments.

Athermal Nanophotonic Lasers

Researchers at the University of California, Davis have developed a nanolaser platform built from materials that do not exhibit optical gain.

Higher-Speed and More Energy-Efficient Signal Processing Platform for Neural Networks

Researchers at the University of California, Davis have developed a nanophotonic-based platform for signal processing and optical computing in algorithm-based neural networks that is faster and more energy-efficient than current technologies.

Shape-Controlled Particles Having Subparticle Geometrical Features

UCLA researchers in the Department of Chemistry and Biochemistry have developed a photolithographic method for the high-throughput, parallel production of microscale and nanoscale objects with tailored shapes and dimensions using a single photomask.

Multiple-Patterning Nanosphere Lithography

Researchers led by Paul Weiss from the Department of Chemistry and Biochemistry at UCLA have developed a novel technique that solves the scalability issue in the fabrication of three-dimensional nanostructures.

Anti-Ferromagnetic Magneto-Electric Spin-Orbit Read Logic

UCLA researchers in the department of Electrical Engineering have developed a novel magetoelectric device for use as a spin transistor.

Diels-Alder Chemistry for Bioconjugation and Incorporation into Non-Natural Amino Acids

A bioconjugation method to covalently link molecular entities to polypeptides such as antibodies using a simple one-pot process.

Active Nanoplatform with High Drug Loading Capacity for the Diagnosis and Treatment of Cancer

Researchers at the University of California, Davis have developed an active nanoplatform (F/HAPIN) for cancer diagnosis and therapy.

Novel Anti-Bacterial, Anti-Fungal Nanopillared Surface

Medical devices are susceptible to contamination by harmful microbes, such as bacteria and fungi, which form biofilms on device surfaces. These biofilms are often resistant to antibiotics and other current treatments, resulting in over 2 million people per year suffering from diseases related to these contaminating microbes. Death rates for many of these diseases are high, often exceeding 50%. Researchers at UCI have developed a novel anti-bacterial and anti-fungal biocomposite that incorporates a nanopillared surface structure that can be applied as a coating to medical devices.

Biologically Applicable Water-Soluble Heterogeneous Catalysts For Parahydrogen-Induced Polarization

UCLA researchers in the Department of Chemistry and Biochemistry have developed a novel method of parahydrogen-induced polarization in water using heterogeneous catalysts.

Rapid, Portable And Cost-Effective Yeast Cell Viability And Concentration Analysis Using Lensfree On-Chip Microscopy And Machine Learning

UCLA researchers in the Department of Electrical Engineering have developed a new portable device to rapidly measure yeast cell viability and concentration using a lab-on-chip design.

Process For Recycling Surfactant In Nanoemulsion Production

UCLA researchers in the Department of Chemistry and Biochemistry have developed a novel method to separate and recycle surfactants used in the manufacturing of nanoemulsions.

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