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Heat transfer and fluid flow in geomaterials: Physics-inspired AI framework

Grant number: DP210100433 | Funding period: 2021 - 2024

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Related publications (3)

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Is natural convection within an aquifer a critical phenomenon in deep borehole heat exchangers' efficiency?

Asal Bidarmaghz, Guillermo A Narsilio

2022-05-05

Deep borehole heat exchangers (BHEs) can be utilised effectively for geothermal (heat) extraction from up to a few kilometres belo..

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Impact of particle shape on networks in sands

Wenbin Fei, Guillermo A Narsilio, Joost H van der Linden, Antoinette Tordesillas, Mahdi M Disfani, J Carlos Santamarina

2021-09-19

Employing network science to understand particle interactions helps manufacture advanced materials with superior force transmissio..

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Predicting effective thermal conductivity in sands using an artificial neural network with multiscale microstructural parameters

Wenbin Fei, Guillermo A Narsilio, Mahdi M Disfani

2021-02-04

Accurate and efficient prediction of thermal conductivity of sands is challenging due to the variations in particle size, shape, c..

University of Melbourne Researchers

Guillermo Narsilio Ferrero's Profile Picture
Guillermo Narsilio Ferrero Infrastructure Engineering

Mahdi Miri Disfani's Profile Picture
Mahdi Miri Disfani Infrastructure Engineering

Kris Ehinger's Profile Picture
Kris Ehinger Computing and Information Systems

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