Ryan T Armstrong

5PUBLICATIONS
15CO-AUTHORS
Experimental methods in fluid flow, heat and mass transferDeep learningPalaeoclimatologyComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Petrophysics and rock mechanics
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Publications (5)

|Mar 18, 2026
Lattice-Boltzmann for Porous Media: 100M<sup>+</sup> GPU Hours.

Ryan T Armstrong, Omid Tavakkoli, Ying Da Wang

|Dec 12, 2025
Scaling deep learning for material imaging with a pseudo 3D model for domain transfer.

Kunning Tang, Ryan T Armstrong, Peyman Mostaghimi

|Nov 29, 2023
Positron emission tomography dataset of [<sup>11</sup>C]carbon dioxide storage in coal for geo-sequestration application.

Yu Jing, Aaron Uthaia Kumaran, Damion Howard Read Stimson

|Feb 14, 2023
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning.

Ying Da Wang, Quentin Meyer, Kunning Tang

|May 12, 2019
On the challenges of greyscale-based quantifications using X-ray computed microtomography.

Yulai Zhang, Peyman Mostaghimi, Ryan T Armstrong

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