Offres de stage et propositions de thèse

Critères de sélection
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Nombre d'offres
21
1
Improving stochastic simulations of complex chemical systems with bitwise arithmetic

Domaines
Statistical physics
Biophysics
Physics of living systems

Type de stage
Théorique, numérique
Description
The Gillespie algorithm is a powerful computational tool to simulate the dynamics of a system of interacting chemical species in regimes where particle numbers are small, and stochastic fluctuations are large. This well-known algorithm becomes computationally demanding when one attempts to sample a large number of configurations, e.g. looking for rare samples in the dynamics, or simulating a large number of species or reactions. We propose to develop a new method to increase the computational yield of the algorithm, by leveraging the boolean representation of particle numbers as they are stored in a computer. Different applications of the algorithm will be explored in the context of simulating complex chemical systems, which are typically non-well mixed and contains a large number of species and reactions. The student will be tasked with the numerical implementation of this parallel Gillespie algorithm, and with its application to a few representative models of interacting chemical species. The student will acquire valuable interdisciplinary skills, such as proficiency in C++, and getting familiar with models of chemical-reaction networks.

Contact
Michele Castellana
Laboratoire : PCC, Institut Curie - UMR168
Equipe : Dynamic Control of Signaling and Gene Expression
Site Web de l'équipe
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2
Interaction between fluids and cell membranes: Instabilities and pattern formation

Domaines
Biophysics
Soft matter
Physics of liquids
Nonequilibrium statistical physics
Physics of living systems

Type de stage
Théorique, numérique
Description
Many cellular functions rely on cells altering their shape. At the membrane level, shape changes are driven by forces that alter membrane curvature. One source is forces exerted by surrounding fluids, like the dense actin filament layer. This internship will theoretically study the fluid mechanics of a cell membrane interacting with surrounding fluid. We model the membrane as a two-dimensional fluid layer that flows and alters its tension and shape. Actin exerts forces on the membrane through flow, altering membrane shape. Conversely, membrane shape alters actin state through a geometrical constraint: actin velocity at the membrane must match membrane velocity. This feedback yields complex physics as the main investigation subject. The student will numerically solve partial differential equations describing fluid flow on curved geometry using the finite-element method, and analyze results using an established Python code. Strong points: - Publications will target top journals in physics and physics-biology boundary. - Students acquire valuable skills: Python proficiency and finite-element method mastery. - The scientific environment at UMR 168, Institut Curie, enables establishing experimental collaborations. The cross-disciplinary character bridging theoretical physics, differential geometry, and experimental biology offers numerous future directions. Contact: michele.castellana@curie.fr

Contact
Michele Castellana
Laboratoire : PCC, Institut Curie - UMR168
Equipe : Dynamic Control of Signaling and Gene Expression
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3
Crowd evacuation, are bees smarter than humans?

Domaines
Condensed matter
Statistical physics
Biophysics
Physics of living systems

Type de stage
Expérimental et théorique
Description
Collective motion is a fascinating phenomenon naturally observed at all scales from bacteria to birds. When urge to evacuate through a bottleneck, human crowds behave like a granular material leading to clogging and intermittent flow, and in worst cases in casualties. This phenomenon has been observed for humans, sheep or vibrated grains with the claim that this non-optimal evacuation would be universal for active matter passing through a bottleneck. We have recently shown that small fish avoid clogging and can be modeled by deformable frictionless bubbles rather than hard grains. In this project, we aim at exploring the collective behavior of honeybees in the evacuation setting. Open questions are: do bees perform better than humans? If so, what can we learn from bees and adapt to human crowds? Is the bee model relevant to test different strategies in order to optimize human crowd evacuation in stressful situations? Preliminary experiments have been done in which a group of walking bees has been imaged while passing through a bottleneck. This dataset must now be analyzed and numerical tools need to be implemented to track the bees and their orientation, measure the timing of the egress, the movements and density of bees in the waiting room, … The intern will first develop numerical tools and use them to analyze the preliminary dataset. If interested, the intern will be able to perform new live-bee experiments.

Contact
Aurélie Dupont
Laboratoire : LIPhy - UMR 5588
Equipe : Optique et Imageries
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4
Effets mémoire dans les solides désordonnés : Étude expérimentale sur des matériaux polymères.
Domaines
Statistical physics
Soft matter
Nonequilibrium statistical physics

Type de stage
Expérimental
Description
Dans les systèmes désordonnés, l’état du matériau dépend de façon cruciale et fortement non évidente de l’histoire du système. Sur des matériaux aussi divers que des amorphes vitreux comme les verres ou les polymères, des gels simples ou complexes, mais aussi des textiles, on retrouve cette capacité du matériau à garder en mémoire, au moins un certain temps, l’histoire des contraintes mécaniques, thermiques, chimiques... qu’il a subi. Nous nous intéressons plus particulièrement à la façon d’écrire, de lire et d’effacer cette mémoire des matériaux désordonnés. Nous proposons donc d’utiliser la machine de traction développée au Laboratoire de Physique à l'ENS de Lyon, pour réaliser des cycles de traction - relâchement jusqu’à une déformation maximale fixée, suivis de lectures à des déformations de plus en plus grandes, de façon à caractériser ces effets mémoire et leur lien avec la dynamique des chaines de polymères.

Contact
Caroline Crauste-Thibierge
04 72 72 83 78


Email
Laboratoire : laboratoire de physique, ENS de Lyon - umr 5672
Equipe : ENS de Lyon, Physique
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5
Un guide d’onde céleste pour des ondes acoustiques
Domaines
Condensed matter
Soft matter
Physics of liquids
Non-equilibrium Statistical Physics
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Expérimental
Description
Dans les systèmes planète–Soleil, il existe des points particuliers, dits points de Lagrange, où les forces de gravitation exercées par les deux corps se compensent. Il existe également des points de Lagrange moins connus, situés en amont et en aval de l’orbite de la planète. Dans le cas de Jupiter, par exemple, on observe des astéroïdes dits Trojans, piégés autour de ces zones d’équilibre dynamique et tournant avec la planète autour du Soleil. Récemment, des physiciens ont montré qu’il était possible de guider un faisceau lumineux sur un principe analogue : l’attraction gravitationnelle est remplacée par un canal d’indice hélicoïdal. Ce dernier peut être obtenu très simplement à l’aide d’un fil électrique chauffé dans un liquide (voir Fig. 1a). Le but de ce stage est d’explorer l’analogue acoustique de cette idée : peut-on guider une onde sonore à l’aide d’un filament chauffé, grâce à de petites variations de la vitesse du son dans un liquide ?

Contact
Emmanuel Fort
Laboratoire : IL - UMR 7587
Equipe : Ondes en milieux complexes
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6
Croissance de fleurs avec des gouttes

Domaines
Condensed matter
Biophysics
Soft matter
Physics of liquids
Physics of living systems
Non-equilibrium Statistical Physics
Kinetic theory ; Diffusion ; Long-range interacting systems
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Expérimental
Description
La nature offre d’étonnants exemples d’organisation spontanée : la phyllotaxie, c’est-à-dire la disposition des feuilles, graines ou pétales autour d’un axe de croissance, obéit à des lois géométriques universelles où apparaissent les suites de Fibonacci et le nombre d’or. Cette structure, visible par exemple dans les tournesols ou les pommes de pin, correspond à une répartition optimale minimisant les interactions locales entre éléments en croissance. Dans les années 1990, Stéphane Douady et Yves Couder ont montré que la géométrie de la croissance suffit à engendrer ces motifs de spirales logarithmiques et de suites de Fibonacci, sans qu’aucun codage biologique ou chimique ne soit nécessaire. Le but de ce stage est de réaliser un analogue électrostatique de ces expériences, en étudiant l’auto-organisation de gouttes d’eau chargées à la surface d’une huile isolante.

Contact
Emmanuel Fort
Laboratoire : IL - UMR 7587
Equipe : Ondes en milieux complexes
Site Web de l'équipe
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7
Multipartite entanglement in semiconductor high harmonic generation

Domaines
Quantum optics/Atomic physics/Laser
Quantum optics
Metrology

Type de stage
Expérimental
Description
Quantum information science and imaging technologies reach some bottleneck due to limited scalability of non-classical sources. Generally, multipartite entanglement with N>2 suitable for quantum applications is difficult to achieve because of the low efficiency of the traditional schemes. The quantum nature of strong field processes occurring in high harmonic generation (HHG) has recently revealed the possibility of generating massively entangled quantum states that should come as a frequency comb of N entangled photons [Gor20]. Intrinsically, the HHG emission comes as a frequency comb and should exhibit N-partite entangled photons. Practically, the internship project will consist in extensively study the non-classical properties of the HHG process in a semiconductor for N>2. In the process, each emitted photon is a superposition of all frequencies in the spectrum, i.e., each photon is a comb so that each frequency component can be bunched and squeezed. The candidate will first develop and test entanglement and quantum correlations using the violation of Cauchy-Schwartz inequality. We will verify genuine multipartite entanglement of the photons in the time/frequency domain, by correspondingly measuring the longitudinal position as well as the frequency bandwidth. The approach will be further extended to verify multi-partite entanglement between even more optical modes.

Contact
Hamed Merdji
0662711472


Email
Laboratoire : LOA - UMR7639
Equipe : QUANTUM
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8
Anisotropic effects on the rheology of foams containing fibers

Domaines
Soft matter

Type de stage
Expérimental et théorique
Description
Emerging efforts at reducing water consumption in water-based industrial processes have led to an increased use of foams as a carrier in replacement of plain water in which particles or drops are dispersed. Yet, this use of foams, which consists in dispersion of bubbles in a liquid stabilized with surfactants, requires to revisit their behavior under flow when they contain particles or drops. In this framework, the case of fibers being dispersed in foams is of particular interest because strong anisotropic effects are expected under flow. Indeed, viscous shear is likely to orient the fibers in the flow direction, leading to anisotropic effects. In this internship, we aim at measuring the structural and rheological response of foams containing fibers under shear. To do so, several experimental configurations will be studied and compared. (i) Classical rheology measurement between plates or coaxial cylinders. (ii) Flows in millifluidics. In both cases, we will couple the rheological measurement with direct visualization. Several physical-chemical parameters will be used to gain insights into the behavior of the system : the fiber and gas volume fractions, the amount of surfactant, the viscosity of the continuous phase, the fiber length.

Contact
Emilie VERNEUIL
Laboratoire : SIMM - ESPCI - UMR7615
Equipe : Sciences et Ingénierie de la Matière Molle
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9
Electrical networks dynamics via a quantum analogy

Domaines
Condensed matter
Statistical physics
Nonequilibrium statistical physics
Non-equilibrium Statistical Physics

Type de stage
Théorique, numérique
Description
The goal of this project is to build on the analogy between the electrical grid linearized equations and a Schrödinger like equation, opening the way to use numerical techniques designed for quantum systems in the physics of powergrids. Using these tools, we wish to study the propagation of fluctuations in the network but also see how one could tackle the dynamics in the non-linear regime by extending these methods.

Contact
Guillaume Roux
01 69 15 31 81


Email
Laboratoire : LPTMS - UMR 8626
Equipe : Disordered systems, soft matter, interface physics
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10
Flows in ultra-thin polymer films

Domaines
Soft matter
Physics of liquids

Type de stage
Expérimental
Description
The stability and homogeneity of liquid films is crucial to processes producing coatings. In the case of silicone oils, a rough estimate of the long-range interactions such as Van der Waals’ shows that such films should bear a uniform thickness at equilibrium: repulsive interactions should tend to a flat thick film. However, in practical situation, initially heterogeneous films never get uniform in a timely manner. As examples, defects on glass substrates lead to thickness heterogeneities that grow over time rather than heal. When starting from a collection of droplets sprayed onto a flat substrate, a nanometer-thick film first spreads around the droplets, and delays the spreading and coalescence of droplets. The goal is to gain insights into the behavior of polymer melts on glass and to elucidate the mechanisms underlying the time evolution of droplets spreading. To do so, model systems will be used (plane glass or silicon wafers, well-characterized polymers), and experiments will be performed in order to measure the thickness profiles over time with advanced imaging techniques. Modelling of the transfers will then be developped to account for the data. Two cases will be particularly studied - Time evolution of oil spread onto substrates decorated will well-controlled defects - Spreading dynamics of several droplets deposited on smooth substrates.

Contact
Emilie VERNEUIL
Laboratoire : SIMM - ESPCI - UMR7615
Equipe : Sciences et Ingénierie de la Matière Molle
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11
Optical trapping of micro and nano-particles in air
Domaines
Quantum optics/Atomic physics/Laser

Type de stage
Expérimental
Description
The optical forces created by a focused beam enable micro and nanoparticles to be levitated and trapped. The construction of a levitation setup in air will enable the movement of the particle in the trap and its internal vibration modes to be studied.

Contact
Benjamin Besga
Laboratoire : ILM - UMR5306
Equipe : Luminescence
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12
How do ants adapt their chemical "social passport" to environmental changes?

Domaines
Biophysics
Soft matter
Physics of living systems

Type de stage
Expérimental
Description
This project investigates the relationship between the rheological properties and chemical composition of cuticular hydrocarbons in ants under acclimatization conditions. By combining approaches from physics, chemistry, and biology, we aim to understand how these social insects adapt their chemical profiles in response to environmental changes. Research activities: -Characterize the rheological behavior of ant cuticular hydrocarbons -Analyze the correlation between physical properties and chemical composition -Study adaptation mechanisms under varying environmental conditions -Employ interdisciplinary methods spanning soft matter physics and chemical ecology Research environment: Location: Laboratoire Matière et Systèmes Complexes (MSC), Paris 13e International collaboration with the Institute of Organic and Molecular Evolution Optional mobility: Short-term research stay at the University of Mainz (Germany) for chemical and behavioral analyses Key aspects: Interdisciplinary approach International and collaborative research framework Opportunity to gain expertise in complementary experimental techniques Contribution to fundamental understanding of social insect communication

Contact
Berengere ABOU
Laboratoire : MSC - UMR 7057
Equipe : MSC: Dynamique des Systèmes Hors Equilibres.
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13
Drop impact on a pool of immiscible liquid

Domaines
Condensed matter
Biophysics
Soft matter
Physics of liquids
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Théorique, numérique
Description
Drop impact on a pool of immiscible liquid Context: The impact of a liquid drop onto a liquid surface is a commonly observed phenomenon in nature and throughout daily life, and is important for many industrial processes such as spray painting, inkjet printing and spreading of pesticides. It has been demonstrated recently that this process could be used for the mass production of particles with complex shapes and cell encapsulation [1]. The geometry of the resulting particles strongly depends on the impact dynamics and the deformation of the interfaces. Goals: In this project, we propose to investigate the formation of complex encapsulations formed by the impact of a liquid drop on a pool of immiscible liquid. We will systematically study the impact of water drops on a pool of an immiscible liquid such as silicone oil. We will combine high-speed imaging experiments with high resolution numerical simulations (using the open-source code Basilisk) to investigate these complex dynamics, and uncover the physical processes involved. Profile: Candidates should have a good training in Fluid Mechanics. The project can either be focused on experimental observations and/or numerical simulations depending on the applicant. Environment: The project will take place in the laboratory of Prof. Marie-Jean THORAVAL at LadHyX in École Polytechnique, in the South of Paris.

Contact
Marie-Jean THORAVAL
0169335252


Email
Laboratoire : LadHyX - UMR 7646
Equipe : LadHyX
Site Web de l'équipe
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14
Impact of compound drops: Bouncing or Sticky?

Domaines
Condensed matter
Biophysics
Soft matter
Physics of liquids
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Expérimental et théorique
Description
Impact of compound drops: Bouncing or Sticky? - Context: The impact of a drop onto a solid or liquid surface has a wide range of applications including combustion, 3D printing, biological microarrays, pharmaceutics and the food industry. While most of them rely on single fluid drops, the emergence of new additive manufacturing techniques promises to revolutionize these industries by combining multiple fluids into compound drops. One of the critical challenges in these applications is to control the deposition process of the impacting drop and therefore its spreading, potential rebound and splashing. Goals: We propose in this project to control the rebound of the water core by varying the viscosity and thickness of the outer oil layer. We will combine high-speed imaging experiments with high resolution numerical simulations (using the open-source code Basilisk) to investigate these complex dynamics, and uncover the physical processes involved in the deposition of compound drops. Profile: Candidates should have a good training in Fluid Mechanics. The project can either be focused on experimental observations and/or numerical simulations depending on the applicant. Environment: The project will take place in the laboratory of Professor Marie-Jean THORAVAL at LadHyX in École Polytechnique, in the South of Paris.

Contact
Marie-Jean THORAVAL
0169335252


Email
Laboratoire : LadHyX - UMR 7646
Equipe : LadHyX
Site Web de l'équipe
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15
Air film dynamics

Domaines
Condensed matter
Biophysics
Soft matter
Physics of liquids
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Théorique, numérique
Description
Air film dynamics - Context: Gas transfer at the ocean surface has a critical importance for climate, as it captures around 30% of the CO2 released into the atmosphere, and for marine biological activity, as it provides the necessary O2. This transfer can be promoted by the entrapment of bubbles, produced through impacting rain drops or breaking waves. The shape and dynamics of the bubbles are important to model these transfers. Goals: We propose in this project to study the contraction dynamics of an air film into a fluid. We will systematically vary the gas and fluid properties in different geometries to understand their contraction velocity and rupture mechanisms. This project will combine numerical simulations (using the open-source code Basilisk) with theoretical analysis to uncover the physical processes involved in the gas transfer into the ocean. Profile: Candidates should have a good training in Fluid Mechanics and Computational Fluid Dynamics. Environment: The project will take place in the laboratory of Prof. Marie-Jean THORAVAL at LadHyX in École Polytechnique, in the South of Paris.

Contact
Marie-Jean THORAVAL
0169335252


Email
Laboratoire : LadHyX - UMR 7646
Equipe : LadHyX
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16
Effect of viscoelasticity on mucus clearance in the pulmonary airways.

Domaines
Biophysics
Soft matter
Physics of liquids
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Expérimental et théorique
Description
This internship propose to investigate the dynamics of mucus clearance in the human airways, a process crucial for respiratory health and affected in diseases like cystic fibrosis. Mucus is cleared either by the coordinated beating of cilia or by cough-induced airflow, yet the role of its viscoelastic properties remains largely unexplored. As part of the CNRS-funded MUCUS project, you will study the behavior of liquid plugs formed during airway occlusion under different breathing scenarios. You can choose between two complementary axes: numerical, using the Basilisk solver and supercomputer simulations to explore how viscoelasticity affects plug rupture in 2D and 3D geometries; or experimental, using microfluidic models to visualize plug dynamics and rupture under pressure gradients and cough-like flows. This hands-on internship combines fluid mechanics, advanced simulations, and cutting-edge experiments, offering the possibility to continue into a PhD. It’s a chance to tackle real-world biomedical challenges while gaining deep expertise in complex fluid dynamics and bio-inspired flows.

Contact
Charlotte De Blois
Laboratoire : FAST - 7608
Equipe : Milieux Poreux et Fracturés
Site Web de l'équipe
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17
Nanopore and Polymer Feedback in Flow

Domaines
Biophysics
Soft matter
Physics of liquids
Physics of living systems
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Expérimental
Description
This internship propose to explore the hidden world of complex fluids at the single-molecule level. Traditional rheometers only reveal bulk properties, missing the microscopic details that truly govern how polymers move and interact—especially in biologically relevant environments such as mucus transport, where long mucin chains meet arrays of cilia. Using nanopore technology and fluorescence microscopy, you’ll directly visualize individual DNA molecules as they pass through nanometer-sized channels under controlled pressure. From these experiments, you’ll uncover key insights into polymer dynamics and fluid rheology by measuring translocation times, event frequencies, and critical pressures. You’ll be actively involved in setting up and calibrating the experimental system, preparing samples, and analyzing data in both Newtonian (water, water–glycerol) and non-Newtonian (DNA, PEO) fluids.

Contact
Charlotte De Blois
Laboratoire : FAST - 7608
Equipe : Milieux Poreux et Fracturés
Site Web de l'équipe
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18
Superfluorescence of semiconductor quantum light nano-emitters

Domaines
Condensed matter
Quantum optics
Nanophysics, nanophotonics, 2D materials and van der Waals heterostructures,, surface physicss, new electronic states of matter

Type de stage
Expérimental
Description
The topic of the internship is to probe chains of semiconductor nanoplatelets by fluorescence microscopy and examine whether these structures exhibit superfluorescence, a mechanism by which incoherently excited dipoles, because of their coupling to the electromagnetic field, spontaneously develop a coherence and interfere constructively, leading to accelerated emission and original properties for emission correlations and directionality.

Contact
Laurent Coolen
Laboratoire : INSP - UMR 7588
Equipe : INSP : NanOpt
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19
Sedimentation of diatom chain colonies in complex flows

Domaines
Biophysics
Physics of liquids
Physics of living systems
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Théorique, numérique
Description
Diatom chains are cohesive assemblies of unicellular microorganisms that are found in still and fresh waters. Some species are passively transported by ambient currents and settle due to the weight of their dense silica shells, while others have use various strategies to move or self-propel. One species in particular, called Bacillaria Paxillifer, forms colonies of stacked rectangular cells that slide along each other while remaining parallel. Their intriguing coordinated motion, leads to beautiful and nontrivial trajectories at the scale of the colony. However, the effect of gravity and externat ambient flows on the dynamics of diatom chains must be investigated to understand the behavior of plankton and marine snow aggregates as they sink, and capture CO2, to the ocean depths.

Contact
Blaise Delmotte
Laboratoire : LadHyX - UMR 7646
Equipe : LadHyX
Site Web de l'équipe
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20
Machine-learning approaches to model interatomic interactions

Domaines
Condensed matter
Statistical physics
Soft matter
Physics of liquids
Nonequilibrium statistical physics
Non-equilibrium Statistical Physics
Kinetic theory ; Diffusion ; Long-range interacting systems
Nanophysics, nanophotonics, 2D materials and van der Waals heterostructures,, surface physicss, new electronic states of matter

Type de stage
Théorique, numérique
Description
Research overview Materials can be studied using computer simulation which enables one to probe the motion of each constituent atoms and to build correlations between the macroscopic properties and the microscopic behaviors. On the one hand, traditional quantum mechanics methods provides particularly accurate results up to the electronic structure of the material. Yet, the drawback of this method concerns its computational cost which prevents from studying large system sizes and long time scales. On the other hand, effective potentials have been developed to mimic atomic interactions thereby reducing those issues. However, these potentials are often built to reproduce bulk properties of the materials and can hardly be employed to study some specific systems including interfaces and nanomaterials. In this context, a new class of interatomic potentials based on machine-learning algorithms is being developed to retain the accuracy of traditional quantum mechanics methods while being able to run simulations with larger system sizes and longer time scales. Simulation project Using computer simulations, the student will construct a database that should be representative of the different interactions occurring in a specific material. Machine-learning potentials based on the least-angle regression algorithm as well as neural network potentials will be trained and their accuracy will be studied as a function of the size and the complexity of the database.

Contact
Julien LAM
Laboratoire : UMET - UMR 8207
Equipe : Plasticité
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21
Crystallization of nanomaterials: theory and simulation

Domaines
Condensed matter
Statistical physics
Soft matter
Physics of liquids
Nonequilibrium statistical physics
Non-equilibrium Statistical Physics
Kinetic theory ; Diffusion ; Long-range interacting systems
Nanophysics, nanophotonics, 2D materials and van der Waals heterostructures,, surface physicss, new electronic states of matter

Type de stage
Théorique, numérique
Description
Research overview The formation of a crystal is triggered by the emergence of a nucleation core. Classical nucleation theory (CNT) is widely employed to discuss its nature and its origin. In CNT, the thermodynamically stable phase is always the one that grows first and its size is then driven by the free energy competition between how much it costs to build a liquid-crystal interface and the gain from growing the crystal. Yet, following Ostwald’s rule, another structure may emerge beforehand if it is closer in free energy to the mother phase. Then, structural and also chemical reorganizations happen during the growth. This multi-stage nucleation mechanism already appears in bulk systems but can be amplified in nanocrystal nucleation where surface effects and chemical reactivity are enhanced. For nanoscience to be inspired by the practical applications instead of still being driven by the synthesis possibilities, it is crucial to reach a better understanding of the unique crystallization mechanisms leading to nanocrystals. Simulation project Atomistic simulations will be performed to study crystallization of binary particles. Examples will be taken from well-studied materials including CuZr, NiAl, NaCl, Water... We will investigate the correlation between the thermodynamic conditions and the final nanoparticles. The goal is to ultimately better understand how nucleation theory is affected by downsizing to the nanometric scale.

Contact
Julien LAM
Laboratoire : UMET - UMR 8207
Equipe : Plasticité
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