Profile
Dr Vu Ngoc is a Royal Society Newton International Fellow at School of Aerospace, Civil, Electrical and Mechanical Engineering. He is currently focused on establishing (1) original continuum-mechanics domain knowledge to enable the creation of interpretable machine-learning models, and (2) statistical-learning frameworks for large mechanical datasets. To date, his key contributions to domain knowledge include: Analytical Homogenisation (Ah), Analytical Inelasticity (AI), and Thermodynamic Regularisation (THERE). The first methodology enables unified microscopic strain measures for multiscale computation, i.e. unified modelling, of diverse soft materials; the second describes the evolution of internal variables for any irreversible process in continuum mechanics without the need to solve partial differential equations; the third addresses ill-posed problems in solid mechanics across a wide range of materials, whilst ensuring the interpretability and measurability of the regularisation parameters.
Area of Expertise
- Continuum interdisciplinary mechanics
- Mechanics of generalised continua
- Interpretable theoretical machine learning
- Functional analysis
Projects
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DSLgene: Data-driven Statistical Learning of generalised mechanics of textile composites (funded by the Royal Society, Project number NIF\R1\241753)
Project Overview In this project, we aim to revolutionise the current artificial intelligence modelling approaches of textile reinforcements by integrating machine learning with the extensive wealth of physics knowledge. This facilitates the development of robust material models of textile reinforcements with unparalleled reliability (in terms of extrapolatability), thereby enabling the prediction of unseen scenarios with…