Engineering and Physical Sciences Research Council (Grant No. EP/W032147/1; EP/W031167/1)

Kao, A ORCID: 0000-0002-6430-2134 , Tonry, C ORCID: 0000-0002-8214-0845 , Soar, P ORCID: 0000-0003-1745-9443 , Krastins, I, Fan, X, Lee, PD and Pericleous, K ORCID: 0000-0002-7426-9999 (2023) Modulating meltpool dynamics and microstructure using thermoelectric magnetohydrodynamics in additive manufacturing. In: IOP Conference Series: Materials Science and Engineering. IOP Conference Series: Materials Science and Engineering, 1281 . IOP Publishing Ltd, 012022. ISSN 1757-8981 (Print), 1757-899X (Online) (doi:https://doi.org/10.1088/1757-899X/1281/1/012022)

Marie Skłodowska-Curie Individual Fellowship (MetaSpine, MSCA-IF-EF-ST, 832430/2018)

Soar, Peter ORCID: 0000-0003-1745-9443 , Dall’Ara, Enrico, Palanca, Marco and Tozzi, Gianluca (2024) Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Extreme Mechanics Letters, 71:102202. pp. 1-14. ISSN 2352-4316 (Online) (doi:https://doi.org/10.1016/j.eml.2024.102202)

School of Engineering and the School of Computing and Mathematical Sciences within the Faculty of Engineering and Science at the University of Greenwich

Soar, Peter ORCID: 0000-0003-1745-9443 , Dall’Ara, Enrico, Palanca, Marco and Tozzi, Gianluca (2024) Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. Extreme Mechanics Letters, 71:102202. pp. 1-14. ISSN 2352-4316 (Online) (doi:https://doi.org/10.1016/j.eml.2024.102202)