2024 Activity Report

2024 Activity Report • June 4, 2025

Innovation in machine learning for electrical cable diagnostics wins award at AUTOTESTCON

CEA-List received the Best Paper Award at IEEE AUTOTESTCON for an innovation in accurate, low-cost electrical cable diagnostics.

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2024 Activity Report • June 4, 2025

X-ray imaging looks inside lightning damage to carbon composites

Lightweight, energyefficient carbon composites, an aerospace-industry favorite, are prone to lightning damage. To help make aerostructures more reliable, CEA-List and ONERA are bringing innovative X-ray imaging to the modeling, analysis, and characterization of lightning damage.

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2024 Activity Report • June 4, 2025

Together, DGA and CEA-List move security code analysis forward

The procurement department of the French defense agency (DGA) relies on tools developed by CEA-List for the formal analysis of the code in the security products used by the agency and its suppliers.

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2024 Activity Report • June 4, 2025

CEA-List and Safran team up on digital twin for robotic inspection

The SPRING cell at CEA-List was designed specifically for robotic non-destructive testing (NDT) using infrared thermography.

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2024 Activity Report • June 4, 2025

A major milestone on the path to using TDK’s spintronic memories for probabilistic AI

CEA-List is working with TDK to investigate new hardwarebased probabilistic computing paradigms that leverage the intrinsic stochastic physics of TDK’s spin memristors.

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2024 Activity Report • June 4, 2025

High-performance ultrasonic simulation for optimized steel manufacturing processes

An understanding of the behavior of ultrasonic waves in metal microstructures can be useful in many industrial applications. One aspect that has remained elusive to researchers is the influence of the complex internal structure of certain metals.

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2024 Activity Report • June 4, 2025

Framatome integrates new optimization tool into its design chain to improve EPR control system performance

Framatome offers an analog backup control solution for its EPR nuclear power plants. The allocation of software control functions to hardware is complex, however.

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