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.
Design of plasmonic nanocomposite membranes for biomolecule detection
Detection of specific small biomolecules amounts is usually challenging. Recently, nanomaterials have provided new materials with interesting optical properties for such an application, especially plasmonic nanomaterials.
In this project, we propose the design of a specific type of nanocomposite made from the incorporation of plasmonic nanoparticles (NPs) within track-etched functionalized polymer membranes. The tuning of the material plasmonic response will be achieved by a controlled in situ NP synthesis directly within the membrane nanopores, through chemical and physico-chemical processes. Especially, the use of radiation (electron beam, ?-rays) to induce the in situ reduction of the metallic precursor will be studied. Ionizing beams (Swift Heavy ions) will also serve to structure the polymer matrix in nanoporous membrane with controlled nanoporosity. The relation between the composite nanostructure and its optical properties will be thoroughly investigated in order to determine the ideal material for biomolecule detection, which will be tested on model molecules such as proteins or virus-like particles (VLPs) in the final part of the project.
Experimental study of boundary layers in turbulent convection by diffusive waves spectroscopy
Turbulent convection is one of the main drivers of geophysical and astrophysical flows, and is therefore a key element in climate modeling. It is also involved in many industrial flows. Transport efficiency is often limited by boundary layers whose nature and transitions as a function of control parameters are poorly understood.
The aim of this thesis will be to set up a convection experiment to probe the dissipation rate in boundary layers in the turbulent regime, using an innovative technique developed in the team: multi-scattered wave spectroscopy.
Sub-critical crack growth in oxide glasses
Material failure is a concern for scientists and engineers worldwide. This includes oxide glasses, which are integral parts of building, electronics, satellites due to multiple advantageous features, including optical transparency, elevated mechanical and thermal properties, chemical durability, biocompatibility and bioactivity, etc. Despite this, oxide glasses have a significate drawback: they are inherently brittle. Oxide glasses are well known to undergo dynamic fracture (crack propagation velocity of ~km/s – as in the case of a glass crashing to the floor and shattering); yet, there is another fracture mode less noticeable that will be studied during this thesis, where crack fronts grow sub-critically. The growth of these crack fronts is aided by environmental parameters including atmospheric humidity and temperature, and the crack front velocity depends on the local stress felt by a crack tip, coined the stress intensity factor.
Currently, our experimental setup tracks the crack front position in time via a tubular microscope equipped with a camera. Post-analysis of images provides the crack front velocity and reveals the environmental limit K_e and region I. However, the current experimental setup cannot capture regions II and III. Several factors play into this limitation: elevated crack front velocity (10e-4 to 1500 m/s), sample size (5×5×25 mm^3), camera acquisition rates, etc.
In recent years, our team has used the potential drop technique to track the crack front velocity when v > 10e-4 m/s in PMMA. This technique involves the deposition of conductive strips on the sample surface. Subsequently, these lines are attached to a high frequency oscilloscope. As the crack front propagates through the sample, the lines are severed resulting in an increase in the electrical resistance. We now wish to adapt this technique to DCDC samples on oxide glasses. The thesis goal is the development and application of the potential drop techniques to DCDC samples. The challenge concerns the spatial temporal resolution (50 µm and 1 ns) in comparison to the crack tip velocity and sample size. The thesis student will take part in all the steps to realize the experiments: designing and depositing patterns (series of strips) on the glass surfaces using a cleanroom, running sub-critical cracking experiments in Region II and III, and analyzing data acquired during the experiment.
Topological and altermagnetic materials: what power can be extracted from the anomalous Hall effect?
The major argument to promote the development of spin electronics and topological materials is the low power dissipation when using spin degrees of freedom and transverse configurations such as Hall configurations. Indeed, in the case of a topological phase, the generated effective magnetic field is expected not to dissipate. However, such an assertion must be the subject of a theoretical description in the context of a realistic electronic device in steady state. The aim of the thesis is to determine the useful power of these devices, in a study that is both experimental and theoretical.
In this context, the definition of the useful power is an open problem. Indeed, the thermodynamics of this type of non-equilibrium system involves cross effects between the degrees of freedom of the electric charge carriers, those of the spin of these carriers, as well as those of the magnetization. The non-equilibrium cross effects are described in a very general way by the famous Onsager reciprocity relations. We have developed a variational method to establish the steady state of a Hall bar and the power dissipated in a load circuit, as a function of the load resistance and the Hall angle. An unexpected result predicts the existence of a maximum ("maximum power transfer theorem"). Preliminary measurements based on the anomalous Hall effect have recently validated the prediction. This experimental confirmation allows us to establish a thesis project that aims to reproduce the measurements on a large set of materials (metals, semiconductors, oxides) and in particular magnetic topological materials, called altermagnetic.
In addition, a ferromagnetic resonance study (called spin pumping) will involve thermoelectric effects, whose dissipative properties, measured on an adjacent load circuit, remain to be determined.
Can we predict the weather or the climate?
According to everyone's experience, predicting the weather reliably for more than a few days seems an impossible task for our best weather agencies. Yet, we all know of examples of “weather sayings” that allow wise old persons to predict tomorrow’s weather without solving the equations of motion, and sometimes better than the official forecast. On a longer scale, climate model have been able to predict the variation of mean Earth temperature due to CO2 emission over a period of 50 year rather accurately.
In the late 50’ and 60’s, Lewis Fry Richardson, then Edward Lorenz set up the basis on the resolution of this puzzle, using observations, phenomenological arguments and low order models.
Present progress in mathematics, physics of turbulence, and observational data now allow to go beyond intuition, and test the validity of the butterfly effect in the atmosphere and climate. For this, we will use new theoretical and mathematical tools and new numerical simulations based on projection of equations of motion onto an exponential grid allowing to achieve realistic/geophysical values of parameters, at a moderate computational and storage cost.
The goal of this PhD is to implement the new tools on real observations of weather maps, to try and detect the butterfly effect on real data. On a longer time scale,, the goal will be to investigate the “statistical universality” hypothesis, to understand if and how the butterfly effect leads to universal statistics that can be used for climate predictions, and whether we can hope to build new “weather sayings” using machine learning, allowing to predict climate or weather without solving the equations.
Research of nanostructured oxides for CO2 capture assisted by synthesis robot and artificial intelligence.
The advent of robotic syntheses assisted by artificial intelligence opens up countless perspectives for the discovery of new nanomaterials, while raising the question of correctly validating these approaches. The goal of this thesis is to discover new nanostructured oxides to make CO2 capture and sequestration energetically efficient. This will require to 1) confirm or disprove that the automated preparation method (mixing robot coupled with a characterization platform by X-ray diffusion and gas analysis) is an approach representative of standard preparation methods, or if the automation is a new preparative approach independent of standard methods, and 2) confirm or disprove that the exploration of the vast space of parameters (nature of oxides, nanostructuring agents, injection laws) makes it possible to exceed the performances of the best current materials.
Perovskite ferroelectric oxynitride thin films with tunable properties
N-doped oxides and/or oxinitrides constitute a booming class of compounds with a broad spectrum of useable properties and in particular for novel technologies of carbon-free energy production. Indeed, the insertion of nitrogen into the crystal lattice of a semiconductor oxide allows, in principle, to modulate the value of its band gap or to introduce additional electronic states and thus to obtain new functionalities and optical properties. The production of oxynitride single crystalline thin films is highly challenging. In this essentially experimental thesis work, thin films of oxynitrides will be developed by atomic plasma-assisted molecular beam epitaxy. We will start from BaTiO3, which synthesis is well mastered in the laboratory, to realize co-dopings with nitrogen and compensating metals in order to preserve the neutrality of the elementary unit cell. The resulting structures will be studied for their chemical compositions, crystalline structures and ferroelectric characteristics. These observations will be correlated with their performance for the photo-electrolysis of water, which allows the virtuous production of hydrogen. Finally, the corrosion resistance of these new materials will also be studied.
The student will acquire skills in a wide range of ultra-high vacuum techniques, molecular beam epitaxy growth, clean room lithography, ferroelectric measurements and photo-electrolysis of water, as well as in state-of-the-art synchrotron radiation techniques.
Perovskite devices for solar hydrogen production
Project Overview:
The PhD thesis is part of the ICARUS European project, aiming to develop efficient solar energy conversion systems for a carbon-neutral future. The project focuses on integrating photoelectrochemical (PEC) water splitting and photovoltaic (PV) power generation.
Key Objectives:
•Develop innovative metal halide perovskite solar cells with tunable bandgaps for broader light absorption.
•Optimize printed carbon-based solar cells and scaffolds for improved conductivity, mechanical resistance, and durability.
•Incorporate innovative carbon counter electrodes into perovskite devices.
•Upscale and manufacture solar modules.
•Integrate the developed modules into a final PEC prototype.
Research Focus:
The PhD candidate will primarily focus on:
•Printed carbon-based solar cells: Optimizing ink properties, investigating the behavior of printed conductive ink under various conditions, and characterizing conductivity and mechanical resistance.
•Perovskite devices: Incorporating innovative carbon counter electrodes and evaluating their performance and stability.
•Module manufacturing: Upscaling and manufacturing solar modules based on the developed technologies.
•PEC prototype integration: Contributing to the final integration of the PEC prototype.
Expected Outcomes:
The research is expected to contribute to the development of highly efficient and sustainable solar energy conversion systems, supporting the transition to a carbon-neutral future. The findings will have implications for both academic research and industrial applications.