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Meeting 2027 TMS Annual Meeting & Exhibition
Symposium Modeling, AI Applications, and Method Development in Nuclear Materials
Presentation Title A modular phase-field framework coupling microstructure and mechanics for nuclear materials simulation: the INFERNO code
Author(s) Luca Messina, Louis Ganzer, Clément Introïni, Tommaso Barani
On-Site Speaker (Planned) Luca Messina
Abstract Scope Predictive modeling of nuclear materials under irradiation requires frameworks that couple microstructure evolution, composition, defects, and mechanics across scales. This work presents INFERNO, an object-oriented Python code for 3D multiphysics phase-field simulation of grain growth, sintering, and irradiation-driven diffusion in multiphase systems. It couples Allen–Cahn and Cahn–Hilliard models through a common grand-potential formulation, with interchangeable finite-difference and spectral FFT solvers. Elastic fields are provided by an external mechanical solver to the total free energy, closing the coupling between phase-field evolution and mechanics. Applications to sintering and fission-gas evolution in UO2 illustrate the framework. In the first one, INFERNO reproduces neck growth and densification driven by surface and grain-boundary diffusion, whereas in the second one, it follows gas evolution from intragranular diffusion through bubble nucleation and growth to grain-boundary coverage, percolation, and release. Comparison with analytical solutions and experimental data provides a preliminary validation of both implementation and physical models.
Proceedings Inclusion? Planned:
Keywords Modeling and Simulation, Nuclear Materials, Computational Materials Science & Engineering

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