Properties of nonequilibrium steady states. A nonequilibrium steady state (NESS) occurs when work is performed on a system and the heat so generated is absorbed by a thermostatting mechanism. The system settles into steady state and its properties no longer change. Almost all experimental systems of interest are in a nonequilibrium state, so understanding NESSs is highly significant. Unlike time stationary equilibrium states, the distribution of microstates in a NESS cannot be described by simpl ....Properties of nonequilibrium steady states. A nonequilibrium steady state (NESS) occurs when work is performed on a system and the heat so generated is absorbed by a thermostatting mechanism. The system settles into steady state and its properties no longer change. Almost all experimental systems of interest are in a nonequilibrium state, so understanding NESSs is highly significant. Unlike time stationary equilibrium states, the distribution of microstates in a NESS cannot be described by simple closed form distributions. This project will determine properties, symmetries and extrema of NESS using concepts and theorems developed for studying transient nonequilibrium states, and will also determine if approximate, physically relevant forms of the phase space distributions can be developed.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170101024
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
How antimatter and matter solvates in liquids. This project aims to improve solvation in transport calculations and polar liquids. Solvation, the process of a particle becoming trapped in a liquid, is important in Positron Emission Tomography medical imaging. However, this application can only be described through particle transport simulation, which cannot address solvation. Modelling the dynamical solvation process of the electron and the positron, its antimatter counterpart, is expected to en ....How antimatter and matter solvates in liquids. This project aims to improve solvation in transport calculations and polar liquids. Solvation, the process of a particle becoming trapped in a liquid, is important in Positron Emission Tomography medical imaging. However, this application can only be described through particle transport simulation, which cannot address solvation. Modelling the dynamical solvation process of the electron and the positron, its antimatter counterpart, is expected to enable accurate simulation of medical imaging, acquiring the greatest amount of information for the smallest dosage of radiation to the patient allowing for lower patient radiation doses and more informative scans.Read moreRead less
Optical tweezers as a micro-rheological probe of soft surfaces. Biomembranes are more than soft containers - their dynamic flexibility plays an important role in cell function, but measurements of mechanical properties of soft surfaces are non-existent. This project develops and applies a new optical tweezers method to measure the flexibility of membranes and its effects upon the friction of nearby particles.
Lightweight battery with more yield than a tonne of coal. This project aims to develop a device that is capable of converting waste heat into useful energy. The project team’s recent breakthrough discovery of a new way to erase information is intended to allow the device to operate using a battery that contains low entropy rather than energy. A battery of this kind can, in principle, have yields that are many times higher than currently available energy sources. This project aims to design proof ....Lightweight battery with more yield than a tonne of coal. This project aims to develop a device that is capable of converting waste heat into useful energy. The project team’s recent breakthrough discovery of a new way to erase information is intended to allow the device to operate using a battery that contains low entropy rather than energy. A battery of this kind can, in principle, have yields that are many times higher than currently available energy sources. This project aims to design proof-of-principle demonstrations of the device and develop the supporting thermodynamical framework. The project aims to seed a new technology that has the potential to revolutionise the way energy is harnessed and used.Read moreRead less
Dissipation and relaxation in statistical mechanics. This project studies the mathematical conditions for relaxation either to equilibrium or to steady states, which is important in predicting behaviour in diverse fields including climate modelling, materials science, nanotechnology and biology. Early career researchers will be involved in the project, gaining valuable skills in theory and simulation.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100064
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Optically controlled containers for experiments in soft matter. Nanotechnology has a promising future in the fabrication of small machines but exactly how these machines work is far less certain as they defy fundamental, classical thermodynamics. This equipment will allow Australian researchers to probe the energy dissipation of, and the work done by, small systems, including those of single molecules, colloidal crystals and membranes.
Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent ....Maximum entropy modelling and Bayesian inference in turbulent fluid mechanics. Fluid turbulence, characterised by fluctuating properties such as velocity and density, remains one of the great unsolved problems of science, due to the difficulty of calculating the Reynolds stresses created by the turbulence. This project will bring a new technique, the maximum entropy method of Jaynes, to this challenge, for the formulation and closure of theoretical and reduced-order numerical models of turbulent flows. Several well-characterised case study flows, of importance to human society, will be examined. Turbulent flow models will also be constructed by maximum-entropy and Bayesian methods directly from experimental data. The project will substantially enhance our ability to predict the behaviour of turbulent flows.Read moreRead less