ANSTO Publications Online

Welcome to the ANSTO Institutional Repository known as APO.

The APO database has been migrated to version 7.5. The functionality has changed, but the content remains the same.

ANSTO Publications Online is a digital repository for publications authored by ANSTO staff since 2007. The Repository also contains ANSTO Publications, such as Reports and Promotional Material. ANSTO publications prior to 2007 continue to be added progressively as they are in identified in the library. ANSTO authors can be identified under a single point of entry within the database. The citation is as it appears on the item, even with incorrect spelling, which is marked by (sic) or with additional notes in the description field.

If items are only held in hardcopy in the ANSTO Library collection notes are being added to the item to identify the Dewey Call number: as DDC followed by the number.

APO will be integrated with the Research Information System which is currently being implemented at ANSTO. The flow on effect will be permission to publish, which should allow pre-prints and post prints to be added where content is locked behind a paywall. To determine which version can be added to APO authors should check Sherpa Romeo. ANSTO research is increasingly being published in open access due mainly to the Council of Australian University Librarians read and publish agreements, and some direct publisher agreements with our organisation. In addition, open access items are also facilitated through collaboration and open access agreements with overseas authors such as Plan S.

ANSTO authors are encouraged to use a CC-BY licence when publishing open access. Statistics have been returned to the database and are now visible to users to show item usage and where this usage is coming from.

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Communities in ANSTO Publications Online

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Now showing 1 - 5 of 5

Recent Submissions

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Descriptors divide‐and‐conquer enables multifaceted and interpretable materials structure–activity relationship analysis
(Wiley, 2025-02-11) Liu, Y; Wu, LH; Yang, ZW; Zou, XX; Zou, ZY; Lin, YX; Avdeev, M; Shi, SQ
Machine learning (ML) is increasingly adopted to explore the dependence of properties on descriptors especially for materials with the complicated structure–activity relationships. However, most current ML modeling strategies typically depend on a single combination of descriptors, which leads to inaccurate and unilateral inferences. Here, a descriptors divide‐and‐conquer method is proposed for machine learning (descriptors‐DCML) in which rough set theory (RST) is integrated with materials domain knowledge to select multiple optimal sets of descriptors combinations and thus diverse rule extraction strategies are provided to dig out mechanisms latent in materials data. Its potential utility and applications using the sodium ion energy barrier prediction of NASICION‐type solid‐state electrolyte compounds with multifaceted influencing factors as an example are demonstrated. A total of 85 NASICION‐type samples with 45 descriptors derived from 72 published literature serve as the data foundation for ML modeling. Not only does descriptors‐DCML exhibit the energy barrier prediction accuracy of 93.8% but also extract 9 relations mapping essential factors to Na ion energy barrier in which 5 ones conform to existing understanding rule and the rest are waiting for validation. This work paves the way for reducing the complexity of analyzing materials structure–activity relationships and enhancing the interpretability of ML models. © 1999-2025 John Wiley & Sons, Inc or related companies.
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Simultaneous X-ray fluorescence and scanning X-ray diffraction microscopy at the Australian Synchrotron XFM beamline
(International Union of Crystallography, 2016-09) Jones, MWM; Phillips, NW; van Riessen, GA; Abbey, B; Vine, DJ; Nashed, YSG; Mudie, ST; Afshar, N; Kirkham, R; Chen, B; Balaur, E; de Jonge, MD
Owing to its extreme sensitivity, quantitative mapping of elemental distributionsviaX-ray fluorescence microscopy (XFM) has become a key microanalytical technique. The recent realisation of scanning X-ray diffraction microscopy (SXDM) meanwhile provides an avenue for quantitative super-resolved ultra-structural visualization. The similarity of their experimental geometries indicates excellent prospects for simultaneous acquisition. Here, in both step- and fly-scanning modes, robust, simultaneous XFM-SXDM is demonstrated. © International Union of Crystallography.
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Pollucite ceramics and glass-ceramics as advanced wasteforms for the immobilization of Cs-Lloaded IONSIV wastes
(American Chemical Society, 2025-04-14) Bahmanrokh, G; Whitelock, E; Dayal, P; Aughterson, RD; Peristyy, A; Sutton, P; Farzana, R; Abraham, JL; Degeling, J; Page, M; Sorrell, CC; Koshy, P; Gregg, DJ
IONSIV R9120-B is a commercial inorganic ion exchange material used in the nuclear industry for the removal of Cs-137 from contaminated liquids. Once IONSIV is loaded with radioactive species, it is considered waste and requires treatment by incorporation into a stable wasteform to prevent radionuclide release during disposal. This work presents a promising, novel candidate glass-ceramic wasteform based on pollucite for the immobilization of cesium-loaded IONSIV. The tailored glass-ceramic provides chemical and processing flexibility through the addition of small amounts of glass formers, with cesium partitioned predominantly to the more chemically durable ceramic phase. A high waste loading of ∼70-80 wt % was achieved, along with a consistent phase assemblage of pollucite, srilankite, rutile, and glass. The chemical durability of the candidate wasteform was assessed using the ASTM C1285 standard method, with the results indicating high chemical durability relative to other candidate materials for cesium immobilization. A single preferred pollucite glass-ceramic design with a 70 wt % waste loading was selected and validated using unloaded and Cs-loaded IONSIV. Importantly, the design ensures consistent phase formation irrespective of Cs-loading on IONSIV, demonstrating tolerance to accommodate compositional variations in the waste. © 2025 The Authors. Published by American Chemical Society. This article is licensed under CC-BY 4.0
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New insights into the radiolytic stability of metal( iv ) phosphonate hybrid adsorbent materials
(Royal Society of Chemistry, 2020-07-11) Luca, V; Veliscek-Carolan, J
Stable metal(IV) phosphonate hybrids are a promising class of materials for the critical issue of nuclear waste cleanup. However, to be of practical use, adsorbent materials must demonstrate radiolytic stability and this property remains poorly understood. Therefore, the radiolytic stabilities of post-functionalised mesoporous zirconium titanate and zirconium phosphonate coordination polymers were compared. For the first time, solid-state 31P MAS-NMR was used to probe the radiolytic degradation of metal(IV) phosphonates and provide mechanistic insight. Polyphosphonate-functionalized hybrids were more stable than monophosphonate hybrids, as the monophosphonate readily detached from the oxide surface. The zirconium phosphonate coordination polymer (Zr-ATMP) demonstrated the greatest radiolytic stability, attributed to its high ligand loading and intimately mixed structure. Zr-ATMP maintained highly efficient sorption from strongly acidic solutions even after receiving doses of gamma radiation up to 2.9 MGy. Facebook Twitter LinkedIn YouTube© Royal Society of Chemistry 2025.
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Characterizing disorders within cathode materials of lithium‐ion batteries
(Wiley, 2025-06-17) Lee, HW; Kim, JY; Lee, SW; Avdeev, M; Yang, W; Kang, YM
The demand for developing high‐energy density cathode materials has been increasing. The energy densities of cathode materials have been improved by adapting structural deviation from the ideal fully ordered α‐NaFeO2 type, but that led to limitations in terms of structural stability and safety. Although disorders in cathode materials are closely related to their electrochemical properties, unfortunately, characterizing the disorder itself in cathode materials has been challenging due to its complex parasitic reaction and strong correlation with other disorders occurring during charge/discharge. In this review, we categorize various disorders by their scales of ordering from short‐range to long‐range. We addressed the principles of various characterization tools to figure out how they can help to identify the structural disorder in cathode materials. Specifically, we focused on the underlying principles of each characterization technique to correlate different disorder‐driven phenomena through several case studies. It underscores the substantial importance of disorder‐property relationships and the corresponding characterization methods, which can provide novel research strategies for developing high‐energy density cathode materials with decent structural stability. © 1999-2025 John Wiley & Sons, Inc or related companies. All rights reserved.