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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Lattice-Boltzmann for Porous Media: 100M + GPU Hours
Abstract We present a comprehensive dataset of two-phase flow Lattice-Boltzmann simulations, generated using over 100 million GPU hours, covering a wide range of wetting conditions, capillary numbers, and porous geometries. While multiphase flow has traditionally been studied through laboratory experiments, the growing power of computational simulations provides a scalable and efficient alternative.
Unlocking Sub‐Micrometer Features in Carbonate Rocks: A Cascading Super‐Resolution Approach for Multiscale Multi‐Instrument Carbonate Characterization
1 Introduction For decades, various underground applications such as oil and gas production, contaminant transport, and CO2 sequestration have been proposed for resource recovery and energy storage, with flow and solute transport playing an important role in these processes (Holditch, 2013; Maitland, 2000; Xiaoguang et al., 2018).
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning - Nature Communications
Abstract Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is inherently challenging due to the multi-phase, multi-component, reactive dynamics within multi-scale, multi-layered porous media. In addition, currently inadequate imaging and modelling capabilities are limiting simulations to small areas (<1 mm2) or simplified architectures.
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