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Faculty

Thomas Swinburne

Assistant Professor, Mechanical Engineering

Portrait of Thomas Swinburne

Research

Metallic alloys uniquely combine strength, ductility, and reusability. These properties result from a complex hierarchy of mechanisms that are only partially understood.

Our research pushes the frontier of multi-scale simulation methods for metals, connecting atomic dynamics, microstructure, and mechanical properties.

Current theoretical topics include:
– Misspecification-aware uncertainty quantification for surrogate models
– End-to-end differentiable simulations for error control and inverse design
– Efficient fine-tuning of foundational atomic models
– Data-driven forecasting of long-timescale simulation behaviour
– Massively parallel algorithms for timescale acceleration

Research Areas

AI; ML and Statistical Inference
Algorithms and Codes
Materials: Calculations; Simulations and Modeling
Mechanical and Structural Engineering
Modeling: Multi-scale; Predictive and Metamodeling
Numerical Analysis; Statistics and Stochastic Methods and Theories
Physics: Theory; Methods and Application
Simulations

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