En cliquant sur le bouton ci-dessous, vous pouvez consulter la liste des dernières publications scientifiques du laboratoire dans la "Collection HAL du M2P2" qui permet de faire des recherches par année, auteur, type de document (article scientifique, ouvrage, chapitre d'ouvrage, actes de conférence...), etc.
Pour un certain nombre d'articles, vous avez accès au texte intégral en format post-print ou pdf éditeur.
Pierre Magnico. Wall morphology dependence of rare gas Knudsen diffusion in silica and graphite slit nanopore: A molecular dynamics study. Vacuum, 2025, 242, pp.114756. ⟨10.1016/j.vacuum.2025.114756⟩. ⟨hal-05273657⟩ Plus de détails...
Gas/wall collision mechanisms play a key role in Knudsen diffusion process. In particular, the channel wall structure has a major influence in mass transfer. So, we investigate the influence of the wall roughness, anisotropy and porosity on the self-diffusion of helium and neon in nanochannels. Three materials are proposed: graphite and β-cristobalite and amorphous silica. The study makes it possible to analyze, in function of temperature, the correlation between 1/the ballistic/diffusion transition regime of the surface gas transfer, 2/the transition of the bouncing process to a linear increase of the bounce number with time and 3/the shape of the surface residence time distribution characterized by a Fréchet like distribution at short time and an exponential decay at long time. As concerns the amorphous SiO 2 , the bounce must be redefined owing to the transfer inside the material which is dominated by a cage effect. The anisotropy effect on collision process and Knudsen diffusion is analyzed by means of a tensorial computation of the tangential momentum accommodation coefficient and of the mean square displacement. Using the Langevin at the channel scale and the Arya model, the ballistic/diffusion transition time of the mean square displacement is related to the collision frequency and the collision number required for the velocity to be uncorrelated. A stochastic model confirms the molecular dynamics results with β-SiO 2 channel: The behavior of the Knudsen diffusion coefficient according to the Arrhenius law and the influence of collision frequency on transition time.
Pierre Magnico. Wall morphology dependence of rare gas Knudsen diffusion in silica and graphite slit nanopore: A molecular dynamics study. Vacuum, 2025, 242, pp.114756. ⟨10.1016/j.vacuum.2025.114756⟩. ⟨hal-05273657⟩
Nicolas Bueno, Viktória Stanová, Philippe Pibarot, Julien Favier. Mechanical Strain Analyses in Silicone-Made Aortic Valve. 2025, 50th congress of the.., ⟨10.46298/mbj.16179⟩. ⟨hal-05191731v2⟩ Plus de détails...
Nicolas Bueno, Viktória Stanová, Philippe Pibarot, Julien Favier. Mechanical Strain Analyses in Silicone-Made Aortic Valve. 2025, 50th congress of the.., ⟨10.46298/mbj.16179⟩. ⟨hal-05191731v2⟩
Yasmine Masmoudi, Thierry Tassaing, Daniel Borschneck, Elisabeth Badens. Supercritical CO2 Sorption Within Polymers Used in Medical Devices and Their Packaging. Journal of Applied Polymer Science, 2025, ⟨10.1002/app.58100⟩. ⟨hal-05328657⟩ Plus de détails...
ABSTRACT Thermodynamic and kinetic aspects of CO 2 sorption and the resulting swelling are investigated in several commercial polymer‐based medical devices and packaging materials, using in situ FTIR spectroscopy under mild processing conditions (40°C–50°C and 8–20 MPa). At thermodynamic equilibrium, significant CO 2 uptake (up to 41% w/w) and volume swelling (up to 62%) are observed in silicones and poly(L‐lactide‐co‐ε‐caprolactone) copolymers, whereas limited sorption occurs in polyolefins (polypropylene, high‐density polyethylene) and in polyester films coated with low‐density polyethylene. These differences are attributed to intrinsic polymer properties; sorption and swelling are favored in polymers combining a highly amorphous structure with elevated chain mobility, and the presence of functional groups with chemical affinity for CO 2 . Among the studied materials, glycol‐modified polyethylene terephthalate exhibits a distinct behavior, characterized by initial CO 2 uptake followed by pressure‐induced crystallization after several hours of exposure.
Yasmine Masmoudi, Thierry Tassaing, Daniel Borschneck, Elisabeth Badens. Supercritical CO2 Sorption Within Polymers Used in Medical Devices and Their Packaging. Journal of Applied Polymer Science, 2025, ⟨10.1002/app.58100⟩. ⟨hal-05328657⟩
Loïc Macé, Luc Vandenbulcke, Jean-Michel Brankart, Jean-François Grailet, Pierre Brasseur, et al.. Three-stream modelling of radiative transfer for the simulation of Black Sea biogeochemistry in a NEMO framework. Geoscientific Model Development (GMD), 2025, ⟨10.5194/egusphere-2025-4973⟩. ⟨hal-05400857⟩ Plus de détails...
Abstract. In this paper, we propose a three-stream ocean radiative transfer (RT) module as an extension of the NEMO ocean modelling framework. This module solves the subsurface irradiance field in 1D water columns, discriminating between two downward streams, direct and scattered, and a backscattered upward stream. The module solves 33 wavebands ranging between 250 and 4000 nm, with a finer 25 nm resolution in the visible range. The sea surface reflectance is also calculated as a model output, based on the ratio between the upward and downward irradiances at the air-sea interface. An optional feedback towards NEMO is presented, enabling the use of irradiances to compute temperature in the hydrodynamics. The module also includes a stochastic version in which the inherent optical properties of the main optically active components of seawater can be perturbed. This mode is meant to account for uncertainty in the modelling of marine optics. This module is can be plugged to any NEMO configuration, with the computation of optical properties either driven by a biogeochemical model or directly forced into the RT module. We apply this module in a test case for the Black Sea, coupled with the physical-biogeochemical framework NEMO 4.2.0-BAMHBI. We find that substituting the existing radiative transfer scheme with our model unlocks the ability to simulate radiometric variables that can be compared more truthfully to observations, both in situ and from remote-sensing. We also find that using irradiances to compute the temperature and PAR in the model maintains consistency in the calculation of physical and biogeochemical variables in the model, such as temperature or chlorophyll concentration, while enabling additional capabilities in the model in the simulation of radiometric quantities.
Loïc Macé, Luc Vandenbulcke, Jean-Michel Brankart, Jean-François Grailet, Pierre Brasseur, et al.. Three-stream modelling of radiative transfer for the simulation of Black Sea biogeochemistry in a NEMO framework. Geoscientific Model Development (GMD), 2025, ⟨10.5194/egusphere-2025-4973⟩. ⟨hal-05400857⟩
Aymeric Fabien, Elisabeth Badens, Guillaume Lefebvre, Brice Calvignac, Christelle Crampon. Interfacial Tensions and Critical Surface Tensions of Stainless Steels in a Dense CO2 Atmosphere. Langmuir, 2025, ⟨10.1021/acs.langmuir.5c03545⟩. ⟨hal-05315981⟩ Plus de détails...
Interfacial properties of stainless steel/CO₂ systems are critical to several emerging applications, including geological carbon sequestration, enhanced oil recovery, and the development of supercritical CO₂ processes. However, these interfaces have been rarely investigated, particularly under high-pressure and high-temperature conditions. This study aims to determine the critical surface tension (γC) and interfacial tension (γSF) at the stainless steel/CO₂ interface. Hence, γC and γSF were determined using Zisman plots and Good's theory, respectively, with the latter requiring the calculation of a molecular interaction parameter. Measurements were carried out on two stainless steels (316 and 316L) in a dense CO₂ atmosphere. The experimental conditions covered pressures from 0.1 MPa to 15.1 MPa and temperatures of 313 K and 333 K, representative of the aforementioned applications. Both γC and γSF decreased with increasing pressure, while the influence of temperature exhibited more complex trends. This study highlights a correlation between interfacial properties and the thermodynamic state of CO₂, as described by the Widom line, which marks the transition between gas-like and liquid-like regimes in supercritical fluids. Finally, the results show similar values for 316 and 316L, in good agreement with a previous study conducted on 303 stainless steel, supporting the hypothesis that average values can be extended to austenitic stainless steels in general.
Aymeric Fabien, Elisabeth Badens, Guillaume Lefebvre, Brice Calvignac, Christelle Crampon. Interfacial Tensions and Critical Surface Tensions of Stainless Steels in a Dense CO2 Atmosphere. Langmuir, 2025, ⟨10.1021/acs.langmuir.5c03545⟩. ⟨hal-05315981⟩
Marc Le Boursicaud, Song Zhao, Jean-Louis Consalvi, Pierre Boivin. Modeling self-ignition of high-pressure hydrogen leaks in confined space. Combustion and Flame, 2025, 280, pp.114386. ⟨10.1016/j.combustflame.2025.114386⟩. ⟨hal-05344209⟩ Plus de détails...
The numerical study of ignition risk in the event of high-pressure hydrogen leakage presents numerous challenges. The first is to properly simulate the complex multi-dimensional flow, characterized by a hemispherical expanding shock and a contact discontinuity. The second is to accurately resolve the di!usion/reaction interface, which exhibits a very small length scale compared to the jet radius. These challenges were addressed in our previous work (Le Boursicaud et al., Combust. Flame 274, 2025), leading to the development of a reduced-order model capable of e"ciently predicting the risk of self-ignition in the case of high-pressure hydrogen storage leakage for various geometries.
The present work focuses on extending the previously developed model to account for the e!ects of leakage in confined spaces. These modifications include a simple adjustment of the pseudo-1D model to account for shock reflection, as well as the consideration of entropy jumps occurring during the interaction between the reflected shock wave and the di!usion layer. This work is motivated by the potential increase in ignition risk when leaks occur in confined environments, as opposed to the open environments previously considered (Smygalina and Kiverin, Int. J. Hydrog. Energy 47, 2022).
Novelty and Significance Statement: This work extends a reduced-order model for shock-induced ignition of high-pressure hydrogen leaks from open to confined environments, capturing key e!ects such as shock reflection and shock-contact interaction. It enables e"cient assessment of ignition risk in scenarios where full-resolution simulations are computationally prohibitive.
Marc Le Boursicaud, Song Zhao, Jean-Louis Consalvi, Pierre Boivin. Modeling self-ignition of high-pressure hydrogen leaks in confined space. Combustion and Flame, 2025, 280, pp.114386. ⟨10.1016/j.combustflame.2025.114386⟩. ⟨hal-05344209⟩
Stacy Ragueneau, Camille Benard-Pardell, Clémence Cordier, Adeline Lange, Magalie Claeys-Bruno, et al.. Influence of seawater treatment by ultrafiltration and culture conditions on the biochemical composition of the diatom Odontella aurita. Algal Research - Biomass, Biofuels and Bioproducts, 2025, 91, pp.104207. ⟨10.1016/j.algal.2025.104207⟩. ⟨hal-05296601⟩ Plus de détails...
Stacy Ragueneau, Camille Benard-Pardell, Clémence Cordier, Adeline Lange, Magalie Claeys-Bruno, et al.. Influence of seawater treatment by ultrafiltration and culture conditions on the biochemical composition of the diatom Odontella aurita. Algal Research - Biomass, Biofuels and Bioproducts, 2025, 91, pp.104207. ⟨10.1016/j.algal.2025.104207⟩. ⟨hal-05296601⟩
Journal: Algal Research - Biomass, Biofuels and Bioproducts
A. Fayet, Pierre Boivin, J. Perez Manes, S. Mimouni, T. Cadiou. Validation of NEPTUNE_CFD for single-phase natural convection. Nuclear Engineering and Design, 2025, 442, pp.114250. ⟨10.1016/j.nucengdes.2025.114250⟩. ⟨hal-05344238⟩ Plus de détails...
Computational Fluid Dynamics (CFD) is widely used in nuclear engineering for safety related studies, providing a mechanistic solution approach in support of the system and sub-channel numerical scales applied in the safety demonstration. Co-developed by four of the biggest actors of the French nuclear industry, the NEPTUNE CFD code is specialized in nuclear thermal-hydraulics applications allowing to simulate single and two-phase flows on complex geometries. The increasing protagonism of passive systems in new generation reactors demands specific studies regarding its operation and safety. Passive systems are engineered to rely on natural physical phenomena, such as buoyancy or natural convection and to operate without the need of active mechanical components or external power sources. This paper focuses on the validation of NEPTUNE CFD over experimental data of Qureshi and Gebhart [1] -vertical flat plane immersed in water -and semi-empiric correlations from the literature to simulate single-phase natural convection to validate the use of NEPTUNE CFD for simulating passive systems over a wide range of Rayleigh numbers from laminar to turbulent regimes.
A. Fayet, Pierre Boivin, J. Perez Manes, S. Mimouni, T. Cadiou. Validation of NEPTUNE_CFD for single-phase natural convection. Nuclear Engineering and Design, 2025, 442, pp.114250. ⟨10.1016/j.nucengdes.2025.114250⟩. ⟨hal-05344238⟩
Transferable adversarial images raise critical security concerns for computer vision systems in real-world, blackbox attack scenarios. Although many transfer attacks have been proposed, existing research lacks a systematic and comprehensive evaluation. In this paper, we systemize transfer attacks into five categories around the general machine learning pipeline and provide the first comprehensive evaluation, with 23 representative attacks against 11 representative defenses, including the recent, transfer-oriented defense and the real-world Google Cloud Vision. In particular, we identify two main problems of existing evaluations: (1) for attack transferability, lack of intra-category analyses with fair hyperparameter settings, and (2) for attack stealthiness, lack of diverse measures. Our evaluation results validate that these problems have indeed caused misleading conclusions and missing points, and addressing them leads to new, consensuschallenging insights, such as (1) an early attack, DI, even outperforms all similar follow-up ones, (2) the state-of-the-art (whitebox) defense, DiffPure, is even vulnerable to (black-box) transfer attacks, and (3) even under the same Lp constraint, different attacks yield dramatically different stealthiness results regarding diverse imperceptibility metrics, finer-grained measures, and a user study. We hope that our analyses will serve as guidance on properly evaluating transferable adversarial images and advance the design of attacks and defenses.
Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, et al.. Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, pp.1-16. ⟨10.1109/TPAMI.2025.3610085⟩. ⟨hal-05267252⟩
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
Andres Bustos, D. Zarzoso, Alvaro Cappa, Teresa Estrada, Enrique Ascasibar. AI session leader assistant prototype for the TJ-II device. Plasma Physics and Controlled Fusion, 2025, 67 (9), pp.095014. ⟨10.1088/1361-6587/adfd80⟩. ⟨hal-04856163⟩ Plus de détails...
The advent of artificial intelligence [AI] has a deep impact on numerous scientific and industrial fields, particularly in magnetic confinement fusion. This work explores the application of AI techniques to help scientists with the design of future fusion experiments based on previous experimental campaigns. Traditional ways of interpreting and designing fusion discharges often require extensive computational resources, time, and research experience (including trial and error procedure). By leveraging AI, it is shown the possibility to partially overcome these constraints. As an example, the explored AI techniques are applied to the TJ-II stellarator. The major goal of this work is the development of an AI system that is able to estimate the operation parameters given a desired plasma scenario. The latter will be determined by the magnetic fluctuations measured by a Mirnov coil and the produced operation parameters are the plasma fueling and heating configurations. The results indicate that AI can approximate fusion experiments and assist scientists for the design of new ones, offering a faster and cost-effective alternative to conventional approaches. This study paves the way for more efficient research and development processes in fusion experiments, with AI serving as a tool for innovation and discovery.
Andres Bustos, D. Zarzoso, Alvaro Cappa, Teresa Estrada, Enrique Ascasibar. AI session leader assistant prototype for the TJ-II device. Plasma Physics and Controlled Fusion, 2025, 67 (9), pp.095014. ⟨10.1088/1361-6587/adfd80⟩. ⟨hal-04856163⟩
