https://iramis.cea.fr/lidyl/pisp/150720-2/
Recent advances in ultrafast optics and the control of highly nonlinear light–matter interactions now make it possible to generate attosecond light pulses (1 as = 10?¹8 s) through High-Order Harmonic Generation (HHG). This process converts a femtosecond laser pulse into coherent, ultrashort radiation in the extreme ultraviolet (XUV) range (10–150 eV). These unique light sources enable access to electronic dynamics on sub-femtosecond timescales and allow the probing of element-specific transitions that were previously only achievable at large-scale facilities such as synchrotrons. The Attophysics Group at LIDYL, a pioneer in the generation, characterization, and application of attosecond pulses, has recently developed sources driven by beams carrying spin (SAM) or orbital (OAM) angular momentum, opening new avenues for studying chiral and magnetic dynamics. Building on these advances, this PhD project aims to synthesize light fields with time- and space-dependent chirality, exploiting in particular the often-neglected longitudinal component of the electric field. Three regimes will be explored: a linear regime (XUV/IR pump–probe), a strongly nonlinear regime (structured visible–IR fields in chiral samples), and a weakly nonlinear regime (IR pump/XUV probe). This work will open a new class of attosecond physics experiments, bridging fundamental exploration and emerging applications.
The student will acquire practical knowledge about lasers, in particular femtosecond lasers, and hands on spectrometric techniques of charged particles. They will also study strong field physical processes which form the basis for high harmonic generation. They will become an expert in attosecond physics. The acquisition of analysis skills, computer controlled experiments skills will be encouraged although not required.
Details at https://iramis.cea.fr/lidyl/pisp/150720-2/
ULTRAFAST SENSING BY ELECTRON AND MAJORANA FLYING QUBITS
An emerging pathway for quantum information is the use of flying electronic charges, such as single-electron excitations, as qubits.
These flying qubits present a key advantage: their intrinsic Coulomb interaction, which enables deterministic two-qubit gates and applications in quantum sensing.
Compared to photonic qubits, they therefore provide a natural means to overcome certain fundamental limitations.
Their main drawback lies in rapid decoherence, but this challenge can be mitigated by operating at ultrafast timescales, on the order of a picosecond.
An additional strategy involves exploiting the topological protection provided by Majorana modes, non-Abelian quasiparticles that are insensitive to local perturbations.
So far, most research has focused on localized 0D modes (at the ends of superconducting nanowires), with no conclusive experimental demonstrations.
This project proposes a new approach based on 1D chiral Majorana modes, offering a pathway toward topologically protected flying qubits.
The ambition is to establish a novel platform for quantum computing and quantum sensing.
This platform will exploit engineered multilayer graphene, combining the quantum anomalous Hall effect, superconductivity, and chiral Majorana modes.
Network structures and development dynamics - from the Industrial Revolution to the Energy Transition
Networks are crucial components of complex societies and underlie successful climate-energy strategies. Nevertheless they remain relatively understudied and insufficiently understood in their dynamics as well as in their relation to resource consumption and economic prosperity.
In this doctoral project, several historical cases of physical network will be explored from an industrial ecology standpoint and in relation to energy consumption. The project will address complexity in sociotechnical network structures and uses based on a complex systems modelling approach associating statistical physics (graph theory), geography and economic history. The project will mainly focus on the transportation and energy networks and their entanglement.
A first target will be railway networks that progressively grew during the 19th century in relation to coal extraction, trade and use. Railway networks are intertwined with early-industrial sociotechnical development and paved the way to the development of road networks in the 20th century in particular on the basis of complex oil networks. The study will address the dual role of railways and road networks in the transportation of both passengers and freight of energy and materials. The growth rates, interconnections and key metrics of these networks will be jointly analyzed and compared to an equivalent analysis of electricity grids which are currently under study by members of the PhD proposal team.
Influence of a nano-antenna on the intersystem crossing rate of a single molecule
As part of the continuation of the ANR JCJC PlasmonISC project, we propose a thesis subject mainly experimental in nano-photonics. The objective of the thesis is to study the influence of a nano-antenna (plasmonic, magnetic or dielectric) on the rate governing the photophysics of fluorescence emission from a single molecule, with a particular interest in the intersystem crossing rate. We have developed a dedicated optical bench combining optical and atomic force microscopy, an experimental procedure, as well as signal processing tools, showing encouraging first results with a dielectric tip. We wish to continue to explore the single molecule/nano-antenna interaction with other types of tips generating other physical effects. The ability to control the transition to the triplet state is of great interest for single photon sources, organic light emitting diodes, and in chemistry.
Synthesis and optical properties of quantum dots
Graphene as a constituent of graphite was close to us for almost 500 years. However, it is only in 2005 that A. Geim and K. Novoselov (Nobel Prize in 2010) reported for the first time the obtaining of a nanostructure composed by a single layer of carbon atom. The exceptional electronic properties of graphene make it a very promising material for applications in electronic and renewable energies.
For many applications, one should be able to modify and control precisely the electronic properties of graphene. In this context, we propose to synthesize chemically graphene nanoparticles and study their absorption and photoluminescence properties. We will focus on families of elongated nanoparticles, with the aim of studying how size can enable us to observe and control multiexcitonic processes in these materials. This project will be developed in collaboration with Physicists so the candidate will work in a multidisciplinary environment.
Effect of gamma-ray irradiation on ferroelectric, hafnia-based, non-volatile memory for use in extreme environments
The emergence of hafnia-based ferroelectric (FE) memories has opened a new paradigm for ultra-low-power edge computing. Hafnia is fully compatible with CMOS technology and is ultra low-power—three orders of magnitude less than other emerging memory technologies.
These advantages align with strategic applications in space, defense, medical, nuclear safety, and heavy-duty transport, where electronics face harsh radiation environments.
Imprint induces a shift of the Polarization-Voltage (P-V) curve along the voltage axis and is attributed to charge trapping/detrapping, domain pinning and charged defects. All may be accentuated under irradiation.
The project will use advanced photoelectron spectroscopy techniques including synchrotron radiation induced Hard X-ray photoelectron spectroscopy and complementary structural analysis including high-resolution electron microscopy, X-ray diffraction and near field microscopy. The experimental characterization will be accompanied by theoretical calculations to simulate the material response to irradiation
The work will be carried out in the framework of close collaboration between the CEA/Leti in Grenoble providing the samples, integrated devices and wafer scale characterization and the CEA/Iramis in Saclay for the fundamental analysis of the material properties, irradiation experiments and device scale characterizations.
Investigation of Lanthanide Salt Interactions with Lipid Systems
Lanthanide–lipid interactions have gained significant attention due to their importance in biophysical and technological applications, including magnetic resonance imaging, fluorescence-based cell labelling and drug delivery. This project aims to investigate the interactions between different lanthanide salts (LnX3, where X = Cl?, ClO4?, NO3?, etc.) and lipid aggregates, focusing on the precipitation and gelation phenomena that occur when their concentration exceeds a certain threshold. Understanding these phenomena is essential for studying self-assembly and phase behaviour in soft matter systems. By examining how lanthanide ions interact with lipid aggregates—particularly in the presence of different anions—this study seeks to elucidate their roles in inducing precipitation and gelation. To this end, a combination of spectroscopic, scattering, microscopy, and rheological techniques will be employed to characterize the molecular interactions in lanthanide–phospholipid systems. These investigations will provide insights into the structural and dynamic properties of such systems and support their application in both biophysical and technological contexts.
Explainable AI for interpretation of Small Angle Scattering
The PhD will be conducted in two laboratories at Paris-Saclay: one group with expertise in artificial intelligence developed over many years, MIA-PS (INRAE), and another in the physics of matter – soft matter, biology – MMB-LLB (CEA/CNRS).
Small-Angle Scattering techniques (X-rays, neutrons, light) involve a constantly growing community, particularly active in France, especially in soft matter and biology. The transition of data from reciprocal space to real space is achieved via different models – in which the MMB group is an expert – whether concerning shape – sphere, rod, platelet, polymer chain – or interactions – attraction, aggregation, repulsion, arrangement. Furthermore, more complex structures, such as proteins or irregular aggregates, require computational or empirical approaches. In all cases, the results are not unequivocal. This is particularly challenging for research groups new to the technique.
In this thesis, thanks to MIA-PS's expertise in AI (machine learning, optimization, visualization), the focus will be on developing explainable AI methods. Part of the modeling involves explained mathematical and physical models, while another part relies on so-called "black box" models, which will be progressively explained. The doctoral candidate will have access to data from three use cases provided by the LLB, and to their experts, to develop a generic methodology. A first step could be based on the globally shared software SasView, a treasure trove of explicit models. We have already received a positive response from the SasView developers, which could therefore serve as a dissemination tool. A valuable contribution will be the access to complementary DPA measurements via the LLB platforms and the SOLEIL and ESRF synchrotrons.
Subsequently, a component focusing on human-computer interaction—ensuring that users remain fully responsible for constructing a physico-chemical-biological explanation—can be implemented. MIA-PS is also an expert in advanced interactive visualization methods.
This project therefore combines highly advanced developments in computer science with a wealth of real-world systems chosen for their originality and, of course, their potential applications.
Understanding the signals emitted by moving liquids
Elasticity is one of the oldest physical properties of condensed matter. It is expressed by a constant of proportionality G between the applied stress (s) and the deformation (?): s = G.? (Hooke's law). The absence of resistance to shear deformation (G' = 0) indicates liquid-like behavior (Maxwell model). Long considered specific to solids, shear elasticity has recently been identified in liquids at the submillimeter scale [1].
The identification of liquid shear elasticity (non-zero G') is a promise of discoveries of new liquid properties. For example, do we know that a confined liquid changes temperature under flow? Yet no classical model (Poiseuille, Navier-Stokes, Maxwell) predicts the effect because without long-range correlation between molecules (i.e. without elasticity), the flow is dissipative, therefore athermal. For a change in temperature to be flow induced (without a heat source), the liquid must have elasticity and this elasticity must be stressed [1,2].
The PhD thesis will explore how the mechanical energy of the flow is converted in a thermal response [2]. We will exploit the capacity of conversion to develop a new generation of microfluidic devices (patent FR2206312).
We will also explore the impact of the wetting on the liquid flow, and reciprocally, we will examine how the liquid flow modifies the solid dynamics (THz) of the substrate [3]. Powerful methods only available in Very Large Research Facilities such as the ILL will be used to probe the non-equilibrium state of solid phonons. Finally, we will strengthen our existing collaborations with theoreticians.
The PhD topic is related to wetting, macroscopic thermal effects, phonon dynamics and liquid transport.
1. A. Zaccone, K. Trachenko, “Explaining the low-frequency shear elasticity of confined liquids" PNAS, 117 (2020) 19653–19655. Doi:10.1073/pnas.2010787117
2. E. Kume, P. Baroni, L. Noirez, “Strain-induced violation of temperature uniformity in mesoscale liquids” Sci. Rep. 10 13340 (2020). Doi : 10.1038/s41598-020-69404-1.
3. M. Warburton, J. Ablett, P. Baroni, JP Rueff, L. Paolasini, L. Noirez, “Identification by Inelastic X-Ray scattering of bulk alteration of solid dynamics due to Liquid Wetting”, J. of Molecular Liquids 391 (2023) 123342202
Photo- and thermocatalytic cross-coupling of esters for the synthesis of biosourced alkenes
The easy access to energy and carbon-based raw materials offered by the fossil feedstock allowed a rapid growth of our society. Nevertheless, the expected depletion of fossil resources and climate change, require changing for a more sustainable model. Bio-based feedstock is a promising source of carbon to substitute petrochemicals but require a drastic change of the actual model. While the current paradigm relies on the production of energy and high-value molecules through oxidation steps, a model based on Carbon Circular Economy, i.e. the transformation of CO2 and biomass feedstock that are already highly oxidized materials demands the development of new methodologies for reduction, deoxygenation, and the direct use of oxygenated bonds to access functionalized and useful organic molecules.
In organic chemistry, cross-coupling reactions represent one of the major tools to create C–C bonds. However, they are still based mainly on the use of organic halides as electrophiles. In this project, the PhD candidate will demonstrate that readily available and abundant alkyl esters can serve as electrophilic coupling partners in catalyzed cross-coupling reactions with alkenes. Esters can indeed be directly biosourced or easily synthesized from alkyl carboxylic acids and alcohols, thereby diminishing the environmental impact of the carbon-carbon bond formation.