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January 01 2023

Operando monitoring of reaction heterogeneities in fast charging Na-ion batteries using synchrotron radiation: from micro and nano diffraction

Sodium-ion batteries can compete with Li-ion batteries for power applications, while being free of critical metals such as Co, Ni or Li. However, fast charging can lead to inter- and/or intra-particle reaction heterogeneities causing underutilisation of the electrode and/or mechanical degradation involving particle cracking. These complex non-equilibrium processes can have profound effects on the overall […] >>

January 01 2023

Unconventional topological spin textures in spintronics

This thesis focuses on the study of unconventional topological spin textures present in antiferromagnetic thin film materials. In the field of spintronics, spin correlations have attracted considerable attention, facilitating progress in fundamental physics and the development of new applications. Some effects, such as the topological Hall effect, are related to the specific local arrangement of […] >>

January 01 2023

Cryopenic control electronics dedicated to the control of a matrix of qubits

The recent improvements of quantum bits (qubit) based on electron spins pave the way towards their massive integration into the possible quantum processor of the future quantum computer. The individual biasing, manipulation and reading of particular qubits of the matrix is a key point that forges strong links between physicists and electronics engineers. More specifically, […] >>

January 01 2023

X-ray attacks of new generation integrated circuits

CESTI is an Information Technology Security Evaluation Facility (ITSEF) laboratory dedicated to security evaluations of integrated circuits. During its evaluation process, various tests can be performed, amongst whose perturbation attacks. The latter consists in modifying chip behavior in order to get secret keys, to bypass authentication steps or to get rid of specific countermeasures. Laser, […] >>

January 01 2023

Neural Architecture Search for Binary Neural Networks on In-Memory Computing

Edge Artificial Intelligence and low-level Computer Vision is now massively deployed at the near-sensor level in order to further extend the capabilities of smart embedded imaging systems. This near-sensor intelligence typically allows 1000x gains by capping data transmission, thus improving energy efficiency. The In-Memory Computing (IMC) paradigm offers the opportunity to optimize processing architectures thanks […] >>
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