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. The research will focus on identifying and characterizing ultrasonic signatures emitted by aging electronic components, and on developing physics-informed neural networks (PINNs) to model their degradation
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13 Feb 2026 Job Information Organisation/Company CEA Department IRIG Research Field Physics » Solid state physics Engineering » Materials engineering Physics » Crystal growth Engineering
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equations, while the phase-field variable itself can also follow an hyperbolic evolution law that captures inertia or rate-dependent effects in the damage process. Explicit schemes are attractive for dynamic
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to extending GTC to handle multiple energetic particle species, instead of a single one. This development will provide both experience with the code structure and insight into the physics of isolated ITG