Probing anti-ferroelectric to ferroelectric structural phase transitions: towards high power energy transformation devices. Materials which can be rapidly switched from anti-ferroelectric to ferroelectric states exhibit a wide range of exploitable properties. This project will identify the factors enabling such materials to respond to applied electric fields and mechanical stresses and use them to enhance the ability of industry to develop new advanced materials.
Advancing energy sustainability by governance leadership in artificial photosynthesis (making fuels from sunlight, water and carbon dioxide). This project builds upon unique Australian interdisciplinary research and collaborations to develop novel approaches to governance leadership in the frontier renewable energy technology of artificial photosynthesis (making fuels from sunlight, water and carbon dioxide). It links established and emerging Australian scholars with eminent international expert ....Advancing energy sustainability by governance leadership in artificial photosynthesis (making fuels from sunlight, water and carbon dioxide). This project builds upon unique Australian interdisciplinary research and collaborations to develop novel approaches to governance leadership in the frontier renewable energy technology of artificial photosynthesis (making fuels from sunlight, water and carbon dioxide). It links established and emerging Australian scholars with eminent international experts to construct a framework for innovative law and public policy reform proposals that overcome impediments to rapid commercial deployment of this combined energy security and climate change solution.Read moreRead less
Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on fore ....Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on forecast information.Read moreRead less