Open Research Repository
The Open Research Repository is the University’s online open access repository for collecting, maintaining and disseminating the scholarly output of the University.
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Recent Submissions
Mapping Current Opportunities and Regulatory Hurdles to Adoption of Biocontrol Products and Strategies in Australian Agriculture
(The Australian National University, 2026-02-12) Atkin, Owen
Australia’s agrifood sector is under growing pressure to adapt crop protection systems in response to resistance, residue requirements and rising expectations for sustainability. Biological control products — spanning microbials, metabolites, RNA-based approaches and endosymbiont technologies — are advancing internationally and offer opportunities to complement Australia’s crop protection toolkit. However, their successful adoption requires addressing several regulatory, technical, market and behavioural barriers.
Workshop 1 of the Pathways to Biocontrol series brought together more than 57 participants from industry, research, RDCs, growers and government agencies to map these barriers and establish a shared foundation for future system improvements.
Time-dependent Wave Packet Scattering Theory for Asymptotically Coulomb Potentials with Applications to Nuclear Collisions
(2025) Tejas, Aditya Singh
Non-relativistic quantum scattering theory informs our broad understanding of nuclear collision processes. However, detailed theoretical insights into the dynamics of fusion, whereby the colliding nuclei form a compound nucleus, remain elusive with conventional approaches. Fundamentally, understanding the complex dissipative processes inherent to compound nucleus formation and when they occur during the collision remains challenging. This, for example, prevents a consistent description of heavy-ion fusion over a wide range of collision energies and hinders searches for new super-heavy elements. To understand these dynamics, we need time-dependent approaches to nuclear collisions. In this thesis, a non-relativistic, time-dependent wave packet theory for potential scattering of charged quantum particles (such as nuclei) has been developed. It formally extends the application of Tannor and Weeks's (1993) formulation of the scattering matrix theory to systems containing the long-range Coulomb potential, by utilising Dollard's (1964) Møller operators. Using the asymptotic localisation of wave packets, analytical theorems have been formulated that allow convenient numerical application of this method. Numerical tests illustrating the theory mark the first rigorous application of this method in nuclear physics. Further insights are gained through a novel analysis of the wave packet time-correlation function (which underlies the theory) to understand how different dynamical processes, such as the formation of long-lived, quasi-bound states, during scattering contribute to the scattering matrix. This provides guidance on using the time-correlation function to obtain fusion observables, along with the associated challenges. Furthermore, this analysis showed that time-correlation functions can be obtained from static calculations, opening numerous new possibilities for studying the dynamics of nuclear reactions, in general, using this approach. This work opens new avenues for studying the dynamics of compound nucleus formation and other dissipative processes in nuclear reactions.
PANIC!
(2025) Swift, Ben
PANIC! (Playground AI Network for Interactive Creativity) is an interactive installation that explores the behaviour of connected AI models. Viewers enter text prompts which are transformed as text/audio/images through a "network" of generative AI models. Each output becomes the input for the next iteration, creating an endless cycle of AI-mediated transformation.
Semantic topologies in the recursive application of generative AI models
(2025) Swift, Ben; Hong, Sungyeon
Text-to-image and image-to-text models allow automated (but imperfect) semantic translation across modalities. This paper presents results and preliminary analysis of an empirical study of recursive information processing in popular open-weight generative artificial intelligence (genAI) models such as FluxSchnell and BLIP-2. Through clustering and topological data analysis we show some of the ways that different genAI models and initial prompts give rise to different semantic embedding trajectories, and suggest some ways forward for understanding how semantic information is transmitted through these types of complex information-processing systems.
Address South Asia’s Fissile Material Conundrum
(The Stimson Center, 2019) Ahmed, Mansoor