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[{"model": "core.projectfund", "pk": 30268, "fields": {"project": 7492, "organisation": 2, "amount": 100887, "start_date": "2017-03-01", "end_date": "2019-02-28", "raw_data": 48128}}]
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[{"model": "core.projectfund", "pk": 22407, "fields": {"project": 7492, "organisation": 2, "amount": 100887, "start_date": "2017-03-01", "end_date": "2019-02-28", "raw_data": 35246}}]
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[{"model": "core.projectorganisation", "pk": 85071, "fields": {"project": 7492, "organisation": 1493, "role": "PP_ORG"}}]
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[{"model": "core.projectorganisation", "pk": 85070, "fields": {"project": 7492, "organisation": 188, "role": "LEAD_ORG"}}]
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[{"model": "core.projectperson", "pk": 52669, "fields": {"project": 7492, "person": 10607, "role": "PI_PER"}}]
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{"title": ["", "Transport and Reactions in Complex Heterogeneous Multiphase Systems"], "description": ["", "\nThe goal of this project is to develop a reliable, theoretical, and computational framework for transport and \nreactions in complex heterogeneous multiphase systems based on mathematical, physical, and thermodynamic principles.\n\nThe project consists of two main themes with cross-linking throughout: \n\n1. Modelling and analysis of novel, effective macroscopic transport formulations for catalysts in fuel cells that allow \nfor reliable, efficient, and low dimensional computational schemes in contrast to models fully resolving the microscale. \n2. Developing a novel computational multiscale framework for transport and reactions in complex heterogeneous multiphase systems. \n\nThe project applies rigorous, mathematical and physical modelling with state-of-the-art methodologies such as \nvariational, physical, and thermodynamic analysis based on calculus of variations, gradient flows, statistical mechanics \nand thermodynamics as well as novel computational approaches allowing for the reliable and efficient discretisation \nof complex heterogeneous multiphase systems. \n\nThe ultimate aim is the systematic and predictive theoretical and computational analysis as well as the optimization \nof complex heterogeneous multiphase systems with the goal of reducing material costs and of increasing longevity \nby a novel and general computational multiscale framework. As a consequence, the results from the proposed work \nshall guide experiments for gaining fundamental understanding of the underlying chemical, physical, and thermodynamic \nprocesses but shall ultimately recommend new design rules, materials, geometries, processes and operation strategies, \nas well as novel measurement techniques. Finally, this project builds the fundamental basis for the subsequent theoretical \nand computational investigation of random complex heterogeneous multiphase systems which naturally occur in many \napplications.\n\n"], "extra_text": ["", "\n\nPotential Impact:\nThis research project aims to elucidate both physical and mathematical insight in how the microscale, i.e., \npore geometry, affects transport and reactions on the macroscale of complex heterogeneous multiphase systems, \nsuch as porous media or catalysts. The computational framework itself shall build a reliable basis for appropriate \nfuture modelling and serve as a predictive tool for complex heterogeneous systems. \n\nThe proposed computational framework is of great interest to researchers and engineers whose research involves \ncoupled transport and reaction processes in complex heterogeneous multiphase systems and hence will enable \nthem to tackle classes of problems that have hitherto been inaccessible. Also the commercial/private sector \nwith interests in the development of predictive models for transport in complex heterogeneous systems will benefit \nfrom this research. In terms of applications, these are quite extensive from batteries, fuel cells, carbon capture, \nfuel production such as hydrogen, solar cells, and super capacitors. \n\nThe outlined research will lead to state-of-the-art rigorous numerical methodologies with the capability of \nproviding accurate and reliable multiscale simulations of three-dimensional transport and reactions in porous \nmedia/catalysts. At present, there do not exist codes/software for the efficient computation of such complex multiscale \nproblems. The resulting computational tools will be of benefit to the control and optimisation of fuel cells/batteries \nand general devices that exploit microscale transport such as flows of species and charges by allowing for rapid \ndesign of novel efficient catalysis systems for instance. High-quality software is a key driver to economic impact \nand an invaluable platform to interact with end users, even at the basic research stage and with limited support.\n\n\nINDUSTRIAL AND ECONOMIC IMPACT/INTERACTION WITH INDUSTRY\n\nIn order to stimulate interaction with Industry, we will organise an interdisciplinary workshop at the International Centre for \nMathematical Sciences in Edinburgh. This will provide a valuable platform for leading experts from academia and industry \nto identify promising interdisciplinary collaborations for advancing energy storage systems for the general benefit (e.g. affordability, longer life times, faster charging times) as further motivated by the economic relevance of catalysis systems below.\n\nThe impact of Catalysis Research on the UK (and global) economy generates in excess of 50 billion pounds per annum. \nThe UK CATALYSIS HUB aims to promote and advance the UK catalysis research portfolio with four main themes \nof research: Catalyst Design, Catalysis for Chemical Transformation, Catalysis for Energy, and Environmental Catalysis. \nAn energy related research program is the Hydrogen and Fuel Cell (H2FC) SUPERGEN Hub, which aims to bring together \nUK's FC research community from academia over industry to government of which the Scottish Government and Scottish \nEnterprise are part of. This research will provide novel and reliable computational multiscale methodologies in synergy \nwith these existing Research Hubs and open up new mathematical and physical research directions as well as promising \npredictive industrial modelling avenues.\n\n\n"], "status": ["", "Closed"]}
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{"external_links": [27355]}
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[{"model": "core.project", "pk": 7492, "fields": {"owner": null, "is_locked": false, "coped_id": "f4106114-2877-4e67-81a6-640b93eac83e", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 34786, "created": "2022-04-11T01:45:49.145Z", "modified": "2022-04-11T01:45:49.145Z", "external_links": []}}]
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