Researchers at the University of North Carolina at Chapel Hill Department of Chemistry have engineered silicon nanowires that can convert sunlight into electricity by splitting water into oxygen and hydrogen gas. An economic feasibility analysis suggests that using slurry of electrodes made from nanoparticles instead of a rigid solar panel design could substantially lower costs, making solar-produced hydrogen competitive with fossil fuels. However, most existing particle-based light-activated catalysts also referred to as photocatalysts, can absorb only ultraviolet radiation, limiting their energy-conversion efficiency under solar illumination.Dr James Cahoon, Ph.D., Hyde Family Foundation Professor of Chemistry in UNC-Chapel Hill's College of Arts and Sciences, and his colleagues in the department have been working on the chemical synthesis of semiconductor nanomaterials with unique physical properties that can enable a range of technologies, from solar cells to solid-state memory. Cahoon serves as the corresponding author of the findings published Feb. 9 in Nature.Cahoon and his team designed new silicon nanowires to have multiple solar cells along their axis so that they could produce the power needed to split water.Silicon absorbs both visible and infrared light. It has historically been a top choice for solar cells, also referred to as photovoltaic cells and semiconductors, owing to this and other properties—including its abundance, low toxicity and stability. With its electronic properties, the only way to drive water splitting wirelessly with silicon particles is to encode multiple photovoltaic cells in each particle. This can be achieved by generating particles that contain multiple interfaces, called junctions, between two different forms of silicon—p-type and n-type semiconductors.Previously, Cahoon's research focused on a bottom-up synthesis and spatially controlled modulation of silicone with boron for p-type nanowires and with phosphorus for n-type nanowires to impart desirable geometries and functionalities.
Researchers at the University of North Carolina at Chapel Hill Department of Chemistry have engineered silicon nanowires that can convert sunlight into electricity by splitting water into oxygen and hydrogen gas. An economic feasibility analysis suggests that using slurry of electrodes made from nanoparticles instead of a rigid solar panel design could substantially lower costs, making solar-produced hydrogen competitive with fossil fuels. However, most existing particle-based light-activated catalysts also referred to as photocatalysts, can absorb only ultraviolet radiation, limiting their energy-conversion efficiency under solar illumination.Dr James Cahoon, Ph.D., Hyde Family Foundation Professor of Chemistry in UNC-Chapel Hill's College of Arts and Sciences, and his colleagues in the department have been working on the chemical synthesis of semiconductor nanomaterials with unique physical properties that can enable a range of technologies, from solar cells to solid-state memory. Cahoon serves as the corresponding author of the findings published Feb. 9 in Nature.Cahoon and his team designed new silicon nanowires to have multiple solar cells along their axis so that they could produce the power needed to split water.Silicon absorbs both visible and infrared light. It has historically been a top choice for solar cells, also referred to as photovoltaic cells and semiconductors, owing to this and other properties—including its abundance, low toxicity and stability. With its electronic properties, the only way to drive water splitting wirelessly with silicon particles is to encode multiple photovoltaic cells in each particle. This can be achieved by generating particles that contain multiple interfaces, called junctions, between two different forms of silicon—p-type and n-type semiconductors.Previously, Cahoon's research focused on a bottom-up synthesis and spatially controlled modulation of silicone with boron for p-type nanowires and with phosphorus for n-type nanowires to impart desirable geometries and functionalities.
