Magnetic DIsks as Transducer of Angular Momentum

The proposed topic is a collaborative project to exploit suspended magnetic disks as novel microwave transducers of orbital angular momentum. Our goal is to develop ultra-high fidelity opto-mechanical modulators operating at GHz frequencies by integrating magnetic materials into optical components. This innovative concept arises from recent progress in the study of angular momentum conservation laws by magnon modes in axi-symmetric cavities, leading to new opportunities to develop a more frugal, agile, and sustainable communications technology. Our proposed design has the potential to achieve coherent interconversion between the microwave frequency range in which wireless networks or quantum computers operate and optical network frequencies, which is the optimal frequency range for long-distance communications. In this regard, our proposal not only proposes new applications of magnonics to the field of optics not previously envisioned, but also builds a bridge between the spintronics and the electronic and quantum communities.
In this proposal, the elastic deformations are generated by the magnetization dynamics through the magneto-elastic tensor and its contactless coupling to a microwave circuit. We have shown that coherent coupling between magnons and phonons can be achieved by precisely tuning the magnetic resonance degenerate with a selected elastic mode via the application of an external magnetic field. We expect to achieve ultra-high fidelity conversion by focusing our study on micron-sized single crystal magnetic garnet structures integrated with GaAs photonic waveguides or cavities. In addition, we propose the fabrication of suspended cavities as a means to minimize further energy leakage (elastic or optical) through the substrate.
The first challenge is to produce hybrid materials that integrate high quality garnet films with semiconductors. We propose a radically new approach based on micron-thick magnetic garnet films grown by liquid phase epitaxy (LPE) on a gadolinium-gallium-garnet (GGG) substrate. The originality is to bond the flipped film to a semiconductor wafer and then remove most of the the GGG substrate by mechanical polishing. The resulting multi-layer is then processed using standard lithography techniques, taking advantage of the relative robustness of garnet materials to chemical, thermal or milling processes.
The second challenge is to go beyond the excitation of uniform modes and target modes with orbital angular momentum as encoders of arbitrarily large quanta of nJ? for mode multiplexed communication channels or multi-level quantum state registers. The project will take advantage of recent advances in spin-orbit coupling between azimuthal spin waves as well as elastic scattering of magnons on anisotropic magneto-crystalline tensors. In this project, we also want to go beyond uniformly magnetized state and exploit the ability to continuously morph the equilibrium magnetic texture in the azimuthal direction as a means of engineering the selection rules and thus coherently access otherwise hidden mode symmetries.

Exploration of Diamond-Based Nanomaterials for (Sono)photocatalysis: Applications in Hydrogen Production and CO2 Reduction

Nanodiamonds (NDs) are increasingly being studied as semiconductors for photocatalysis, thanks in particular to the very specific positions of their valence and conduction bands, which can be modulated. For example, it has recently been shown that NDs can produce hydrogen under sunlight with an efficiency similar to that of TiO2 nanoparticles. Other studies also show the possibility of photogenerating solvated electrons from certain NDs for CO2 reduction or the degradation of stubborn pollutants.

With a view to accelerating the development of nanodiamond-based ‘solar-to-X’ technologies, we propose in this thesis to integrate nanodiamonds as photocatalysts in a sonophotocatalytic approach. Acoustic cavitation, generated by ultrasound, can improve mass transfer by dispersing catalytic particles and can produce additional reactive species (hydroxyl radicals, superoxides). It also emits sonoluminescence, which can promote the photogeneration of charges and should limit the recombination of charge carriers.

The first phase of the work will focus on the synthesis of nanodiamond-based photocatalysts, exploring various surface chemistries and their association with co-catalysts. Both classical and sonochemical synthesis methods will be used, as preliminary studies have shown that sonochemistry can effectively modify the surface chemistry of NDs. The photocatalytic properties of these materials will first be evaluated, leading to the design of a sonophotocatalytic cell. Further studies will explore the synergies between sonochemistry and photocatalysis for hydrogen production or CO2 reduction. This thesis will be carried out as part of a collaboration between the NIMBE at the Saclay CEA centre and the ICSM at the Marcoule CEA centre.

Brines for metal recycling

Critical metals are essential for a range of technologies that are vital to reduce our carbon dioxide emissions. However, the global recycling rate for metals contained in electronic waste is below 20%, indicating that electronic waste is a relatively untapped source of metals. Additionally, it is increasingly urgent to develop effective processes for recycling waste from products like solar panels, as the volume of waste solar pannels generated is set to rise significantly in the coming years. Currently, conventional hydrometallurgical methods often rely on toxic aqueous solutions to dissolve metals, which presents substantial environmental challenges.

This project proposes an innovative alternative by using concentrated brines (aqueous salt solutions) to oxidize and dissolve metals. This thesis will investigate the fundamental properties of brines and their ability to dissolve metals through various techniques, particularly electrochemical methods. Artificial intelligence methods developed within the lab will be employed to screen a wide range of brines that would allow metal dissolution. Subsequently, brine-based recycling processes will be developed to recover metals from printed circuit boards and solar panels. Finally, metal separation and the treatment of used brines will be explored using membrane and electrochemical processes.

Search for di-Higgs production in the multilepton channel with the ATLAS detector using 13.6 TeV data

The Higgs boson, discovered in 2012 at the LHC, is at the origin of the electroweak symmetry breaking within the Standard Model (SM). Despite extensive studies on the Higgs properties, the Higgs self-coupling remains unexplored. This parameter is a key factor in determining the Higgs potential and the stability of the universe’s vacuum. Studying Higgs pair production is the only direct method for measuring this self-coupling, which will give crucial insights into the universe’s fundamental structure and the nature of the electroweak phase transition after the Big Bang. Di-Higgs production is predicted to have a very small cross-section within the SM. Among possible detection channels, the multilepton final state is promising due to its unique kinematic signature, though challenging due the need for precise lepton identification and advanced signal separation techniques using machine learning. This PhD project focuses on searching for di-Higgs production in the multilepton channel with 13.6 TeV ATLAS data, taking advantages from the increased data and energy in Run 3 and aiming to approach SM sensitivity.

Development of Reconstruction Algorithms for the New High-Angle Time Projection Chambers in the T2K Experiment and Measurement of CP Violation in Neutrino Oscillations

Neutrinos are promising messengers for detecting physics beyond the Standard Model. Their elusive nature and unexplained mass suggest they could open new pathways for physics. Neutrino oscillation research has entered a precision era with experiments like T2K, which in 2020 observed hints of CP violation in the leptonic sector that could shed light on the question of matter-antimatter asymmetry in the Universe.

The T2K experiment, located in Japan, studies neutrino oscillations by generating an intense beam of muon neutrinos (and anti-neutrinos). This beam is measured at two locations: a near detector, designed to reduce systematic uncertainties related to the neutrino flux and interaction models, and a far detector (Super-Kamiokande), tasked with measuring the disappearance of muon neutrinos and the appearance of electron neutrinos after oscillation.
In 2023, T2K entered its second phase with increased beam power and upgrade of the near detector, including a highly granular new target and High-Angle Time Projection Chambers (HA-TPC). These improvements enable more precise reconstruction of particles produced by neutrino interactions.

IRFU teams contributed by developing HA-TPCs equipped with resistive Micromegas technology. This work improves spatial resolution and the precision of particle momentum. The thesis explores optimizing the particle track reconstruction algorithms in the HA-TPCs using advanced techniques, as well as analyzing T2K data with the upgraded ND280 to achieve a 3 sigma level of significance for CP violation. T2K is thus paving the way for future experiments like DUNE and Hyper-Kamiokande, opening new perspectives for the next two decades.

The dawn of planet formation

Planet formation is a key topic of modern astrophysics with implications on existential questions such as the origin of life in the Universe. Quite surprisingly, we do not precisely know when and where planets are formed in protoplanetary disks. Recent observations however indicate that this might happen sooner than we previously believed. But the physical conditions in the young disks remain poorly constrained. During this thesis we propose to test the hypothesis that planets could form early. We will perform 3D simulations of protoplanetary disk formation with gas, dust and including the mechanisms of planetesimal formation. In addition from determining whether planets form early we will be able to predict the architectures of exoplanet systems and to compare them to real ones. This work, beyond the current state-of-the-art, is timely as many efforts are currently being done by our community to better understand exoplanets as well as our origins.

Modelling spin shuttling in Si and Ge spin qubits

Silicon and Germanium spin qubits have made outstanding progress in the past few years. In these devices, the elementary information is stored as a coherent superposition of the spin states of an electron or hole confined in a quantum dot embedded in a Si/SiO2 or SiGe heterostructure. These spins can be manipulated electrically and are entangled through exchange interactions, allowing for a variety of one- and two-qubit gates required for quantum computing and simulation. Grenoble is promoting original spin qubit platforms based on Si and Ge, and holds various records in spin lifetimes and spin-photon interactions. At CEA/IRIG, we support the progress of these quantum technologies with state-of-the-art modelling. We are, in particular, developing the TB_Sim code, able to describe very realistic qubit structures down to the atomic scale if needed.
Spin shuttling has emerged recently as a resource for spin manipulation and transport. A carrier and its spin can indeed be moved (shuttled) coherently between quantum dots, allowing for the transport of quantum information on long ranges and for the coupling between distant spins. The shuttling dynamics is however complex owing to the spin-orbit interactions that couple the motion of the carrier to its spin. This calls for a comprehensive understanding of these interactions and of their effects on the evolution and coherence of the spin. The aim of this PhD is to model shuttling between Si/Ge spin qubits using a combination of analytical and numerical (TB_Sim) techniques. The project will address spin manipulation, transport and entanglement in arrays of spin qubits, as well as the response to noise and disorder (decoherence). The PhD candidate will have the opportunity to interact with a lively community of experimentalists working on spin qubits at CEA and CNRS.

Magneto-ionic gating of magnetic tunnel junctions for neuromorphic applications

Magneto-ionics is an emerging field that offers great potential for reducing power consumption in spintronics memory applications through non-volatile control of magnetic properties through gating. By combining the concept of voltage-controlled ionic motion from memristor technologies, typically used in neuromorphic applications, with spintronics, this field also provides a unique opportunity to create a new generation of neuromorphic functionalities based on spintronics devices.

The PhD will be an experimental research project focused on the implementation of magneto-ionic gating schemes in magnetic tunnel junction’s spintronics devices. The ultimate goal of the project is to obtain reliable and non-volatile gate-control over magnetisation switching in three-terminal magnetic tunnel junctions.
One major challenge remains ahead for the use of magneto-ionics in practical applications, its integration into magnetic tunnel junctions (MTJ), the building blocks of magnetic memory architectures. This will not only unlock the dynamic control of switching fields/currents in magnetic tunnel junctions to reduce power consumption, but also allow for the control of stochasticity, which has important implications in probabilistic computing.

Study of electronic processes in nitride LEDs by electro-emission microscopy

Nitride LEDs are universally used for energy-efficient lighting. They are extremely efficient at low indium content and low current density, allowing to produce commercial white LEDs from a blue LED and a phosphor that absorbs blue and re-emits a broad spectrum in the visible range. However, nitride LEDs suffer from a drastic drop in efficiency at higher current densities and higher indium concentrations, for emission in the green or red. This is an obstacle to extending their use, in order to obtain higher efficiencies with less material, as well as better color rendering. These efficiency drops are partly due to an increase in three-particle Auger-Meitner processes, which are strongly impacted by local device heterogeneities, and can be reduced by specific engineering of structural defects in nitride materials. This thesis proposes to study the electronic processes in nitride LEDs in operando, using electro-emission microscopy. In particular, charge injection mechanisms in the active part of the LEDs and Auger-Meitner processes will be investigated and quantified. The spatial resolution of the technique will allow to characterize the role of heterogeneities (defects or alloy disorder) in the loss processes.

Towards a better understanding of membrane proteins through AI

Despite the remarkable advances in artificial intelligence (AI), particularly with tools like AlphaFold, the prediction of membrane protein structures remains a major challenge in structural biology. These proteins, which represent 30% of the proteome and 60% of therapeutic targets, are still significantly underrepresented in the Protein Data Bank (PDB), with only 3% of their structures resolved. This rarity is due to the difficulty in maintaining their native state in an amphiphilic environment, which complicates their study, especially with classical structural techniques.

This PhD project aims to overcome these challenges by combining the predictive capabilities of AlphaFold with experimental small-angle scattering (SAXS/SANS) data obtained under physiological conditions. The study will focus on the translocator protein TSPO, a key marker in neuroimaging of several serious pathologies (cancers, neurodegenerative diseases) due to its strong affinity for various pharmacological ligands.

The work will involve predicting the structure of TSPO, both in the presence and absence of ligands, acquiring SAXS/SANS data of the TSPO/amphiphile complex, and refining the models using advanced modeling tools (MolPlay, Chai-1) and molecular dynamics simulations. By deepening the understanding of TSPO’s structure and function, this project could contribute to the design of new ligands for diagnostic and therapeutic purposes.

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