Integrated Pulse Shaping Devices

Pulse shaping devices are the key elements for optical signal processing that are capable of reshaping the temporal waveform of optical pulses.  The applications of pulse shaping devices include ultrahigh-speed optical telecommunication, ultrafast all-optical computing and information processing, biomedical imaging, and electronic and photonic signal/device characterization and monitoring. For these applications, ultrafast optical waveform shapers […]

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Heterojunction colloidal quantum dot based solar cells

Solar power is one of the most promising renewable energy sources and its terrestrial abundance is several orders of magnitude higher than world’s consumption. Conventional solar cells, however, collect only a portion of solar energy – mostly visible sunlight. Our technology is capable of collecting the entire solar energy spectrum by using semiconducting nanocrystals (NCs) […]

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Eco-Friendly coatings and formulations for the wood industry

Ecoatra is applying new developments in nanotechnology to solve the long-standing problem of hazardous substance use in the wood industry- one of our oldest and largest industries. Ecoatra’s formulation uses nanotechnology to enable deeper and more uniform penetration into wood, versatile application,  increased performance and potency at lower material quantities translating to reduced costs, multifunctional […]

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D-Cubed: Driver Drowsiness Detection

The U.S. National Highway Traffic Safety Administration has indicated that driving while drowsy is the cause of 22 to 24 percent of car crashes, and results in a four- to six-times higher crash/crash risk compared to driving while alert. Therefore, the use of assistive systems that monitor a driver’s level of vigilance and alert the […]

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Cache-oblivious and adaptive algorithms in symbolic computation

The pervasive ubiquity of parallel architectures and memory hierarchy has led to the emergence of a new quest for parallel mathematical algorithms and software capable of exploiting the various levels of parallelism: from hardware acceleration technologies (multi-core and multi-processor system on chip, GPGPU, FPGA) to cluster and global computing platforms. In this project, we propose […]

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Tailoring Rheological Properties of RigidReclaimâ„¢ Resin Streams

The RigidReclaim™ technology under development by Entropex is an innovative process which converts a comingled, contaminated Mixed Rigid waste stream into highly pure, commercially valuable resins. The non-uniform natures of the plastic waste pose a significant challenge to satisfy the quality requirements for high-value applications. This project is a critical component of the RigidReclaim™ technology […]

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Development of novel nanomaterial in advanced lithium batteries for electric vehicles

There is an increasing demand for development of electric vehicle (EV) due to the serious energy shortages and environmental pollution. Advanced Lithium (Li) rechargeable batteries are the most promising power systems in commercial Hybrid EV. The main challenge is still the development of alternative material in terms of energy density, cycability, safety, and cost. In […]

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Coil and Sequence Development for Metabolic Magnetic Resonance Imaging

Dynamic Nuclear Polarisation makes it possible to boost the MRI signal of 13C labelled pyruvate 10,000-fold, overcoming the low natural signal of carbon. This makes imaging of metabolic processes possible, and could provide useful insight on changes in cellular metabolism due to cancer. Imaging the metabolic products of pyruvate allows monitoring not only where metabolism […]

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Research and Development of Automated Pluripotent Stem Cell Propagation

Stem cells are at the forefront of modern medicine and are expected to revolutionize both the human and veterinary healthcare industries. Currently, a major obstacle to the field is the time-consuming and costly technical time spent growing and maintaining various stem cell populations. The degree of contamination with non-stem cells, ability of the stem cells […]

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Development and validation of a mathematical model of brain activity during deep brain stimulation in Parkinson’s disease

Deep brain stimulation (DBS) consists in implanting electrodes delivering electric stimuli in deep brain structures to relieve motor symptoms of Parkinson's disease (PD). Even if DBS is successful in alleviating symptoms for about 50,000 patients worldwide, it is an invasive neurosurgical technique, and its mechanisms of action remain elusive. This therapy could be greatly improved […]

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