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Item type:Publication, Access status: with files , Morphology of nanoporous glass : stochastic 3D modeling, stereology and the influence of pore width(American Physical Society (APS), 2024-04-01); ; ; ; Excursion sets of Gaussian random fields are used to model the three-dimensional (3D) morphology of differently manufactured porous glasses (PGs), which vary with respect to their mean pore widths measured by mercury intrusion porosimetry. The stochastic 3D model is calibrated by means of volume fractions and two-point coverage probability functions estimated from tomographic image data. Model validation is performed by comparing model realizations and image data in terms of morphological descriptors which are not used for model fitting. For this purpose, we consider mean geodesic tortuosity and constrictivity of the pore space, quantifying the length of the shortest transportation paths and the strength of bottleneck effects, respectively. Additionally, a stereological approach for parameter estimation is presented, i.e., the 3D model is calibrated using merely two-dimensional (2D) cross-sections of the 3D image data. Doing so, on average, a comparable goodness of fit is achieved as well. The variance of the calibrated model parameters is discussed, which is estimated on the basis of randomly chosen, individual 2D cross-sections. Moreover, interpolating between the model parameters calibrated to differently manufactured glasses enables the predictive simulation of virtual but realistic PGs with mean pore widths that have not yet been manufactured. The predictive power is demonstrated by means of cross-validation. Using the presented approach, relationships between parameters of the manufacturing process and descriptors of the resulting morphology of PGs are quantified, which opens possibilities for an efficient optimization of the underlying manufacturing process.Publicationtype: Journal Article13 75 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Western Balkans Regional University Innovation Platform(University of Kragujevac, WBCInno project, 2014); ; ; ; This report takes the findings of the WBCInno project to date and reviews these to enable a proposal to be developed for a Western Balkans Regional University Innovation Platform. This Platform aims to support the development and growth of a range of KTT activities including commercialisation of research, collaboration between universities and enterprises, and establishing start-ups and spin-offs. It also considers the issues of managing and supporting these activities to optimise success as well as considering ways in which success can be measured and reported. The report recognises that different universities are at different stages of development, have different strengths and opportunities, and consequently require different support mechanisms. This recognition is reflected in the proposals which are articulated through an Action Plan focusing on ensuring that the needs of each specific university in the Western Balkan countries can be met. The recommendations within the action plan highlight the need for stakeholder engagement and buy-in at an early stage in the detailed ‘design’ stage of all aspects, particularly in the light of historical experiences of infrastructure being established which have had only a limited life. The elements of this report include the development of Key Performance Indicators; the specification of a programme of KTT staff development activities; the definition of the Knowledge and Technology Transfer Unit functionalities; the detailed design of the UIP collaborative software platform; the development of motivational aspects; and setting university specific research priorities.Publicationtype: Book16