Discovery Early Career Researcher Award - Grant ID: DE160100569
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Ultra-Porous Devices by Synergistic Aerosol and Atomic Layer Depositions. The project aspires to develop a scalable low-cost approach for the synthesis and integration of ultra-porous films in nanodevices. The project intends to deposit atomic layers onto aerogel-like nanoparticle networks, self-assembled by thermophoresis of flame-made aerosols. This would increase the atomically-deposited layer mass by several hundred-fold per cycle and result in ultra-porous films with electrochemically activ ....Ultra-Porous Devices by Synergistic Aerosol and Atomic Layer Depositions. The project aspires to develop a scalable low-cost approach for the synthesis and integration of ultra-porous films in nanodevices. The project intends to deposit atomic layers onto aerogel-like nanoparticle networks, self-assembled by thermophoresis of flame-made aerosols. This would increase the atomically-deposited layer mass by several hundred-fold per cycle and result in ultra-porous films with electrochemically active surface areas. It is intended that the project will demonstrate the fabrication of solid–gas, solid–liquid and solid–solid nanointerfaces, which will be applicable to key emerging technologies such as wearable medical diagnostics.Read moreRead less
Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less