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All Outputs (18)

Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem (2023)
Journal Article

Over the last two decades the organic solar cell community has synthesized tens of thousands of novel polymers and small molecules in the search for an optimum light harvesting material. These materials are often crudely evaluated simply by measuring... Read More about Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem.

On Spread Spectrum for DC Grids: Low-Frequency Conducted EMI Mitigation and Signal Integrity Disruption in Serial Communication Links (2023)
Journal Article

This article addresses the effects on nearby communication systems when spread spectrum modulation techniques are used for a dc-dc power converter. These interactions can be found in modern smart grids and automotive power networks in which the combi... Read More about On Spread Spectrum for DC Grids: Low-Frequency Conducted EMI Mitigation and Signal Integrity Disruption in Serial Communication Links.

Latest developments on the shielding effectiveness measurements of materials and gaskets in reverberation chambers (2019)
Journal Article

In this study, the authors present the latest developments on the measurements for the shielding effectiveness (SE) of gaskets and materials in reverberation chambers (RCs). A variant method, where the insertion loss of the fixture is achieved from t... Read More about Latest developments on the shielding effectiveness measurements of materials and gaskets in reverberation chambers.

Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin‐Film Solar Cells (2019)
Journal Article

There is currently a worldwide effort to develop novel materials for solar energy harvesting which are efficient, low cost and do not emit significant levels of CO 2 during manufacture. Currently when a researcher fabricates a novel device from a nov... Read More about Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin‐Film Solar Cells.

An electrical equivalent circuit to simulate the output power of an AlGaAs/GaAs planar gunn diode oscillator (2018)
Journal Article

© 2018 Wiley Periodicals, Inc. The planar Gunn diode offers the potential of microwave, milli-metric and THz-based oscillators, which can be fabricated as part of a microwave monolithic integrated circuit (mmic). The paper develops an electrical repr... Read More about An electrical equivalent circuit to simulate the output power of an AlGaAs/GaAs planar gunn diode oscillator.

A novel photonic crystal band-pass filter using degenerate modes of a point-defect microcavity for terahertz communication systems (2014)
Journal Article

Compact devices are important for the realization of terahertz communications systems. This article proposes a novel photonic crystal-based device for realizing microminiature, high-selectivity high Q band-pass filters (BPF) and the design of a dual-... Read More about A novel photonic crystal band-pass filter using degenerate modes of a point-defect microcavity for terahertz communication systems.

A small temperature rise may contribute towards the apparent induction by microwaves of heatshock gene expression in the nematode Caenorhabditis elegans (2006)
Journal Article

We have previously reported that low-intensity microwave exposure (0.75-1.0 GHz CW at 0.5 W; SAR 4-40 mW kg-1) can induce an apparently non-thermal heat-shock response in Caenorhabditis elegans worms carrying hsp16-1::reporter genes. Using matched co... Read More about A small temperature rise may contribute towards the apparent induction by microwaves of heatshock gene expression in the nematode Caenorhabditis elegans.