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    Generalized neural closure models with interpretability by Gupta, Abhinav, Lermusiaux, Pierre F. J.

    Published 2024
    “…Our flexible modeling framework provides full autonomy for the design of the unknown closure terms such as using any linear-, shallow-, or deep-NN architectures, selecting the span of the input function libraries, and using either or both Markovian and non-Markovian closure terms, all in accord with prior knowledge. …”
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  18. 1258

    Envisioning Water: Sustainability and Future-Making in Dubai and Los Angeles by Christidi, Nadia

    Published 2024
    “…As such, I show, for instance, how Dubai’s highly centralized governance structure and foreign-investment development model produce an emphasis on sustainability’s enhancement of the city-state’s competitiveness agenda that can belie larger eco-realities, while LA’s fragmented institutional, regulatory, and financing scapes complicate collaboration on recycling projects which span across and exceed individual institutional mandates. …”
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  19. 1259

    In Tension: Computational exploration of the design space of tensile network structures by Burke, Adam T.

    Published 2024
    “…Tensile network structures are often used to span long distances without intermediate supports and have found applications in art, architecture, and structural engineering due to their physical and visual lightness. …”
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  20. 1260

    From Waste to Structure: A Deep Reinforcement Learning Approach to Circular Design by Sørensen, Karl-Johan I.

    Published 2024
    “…To evaluate the effectiveness of the RL method, it is applied to the specific problem of inventory-constrained design of planar roof trusses and demonstrated in a realistic example of assembling a long-span roof from a disassembled transmission tower.…”
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