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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⟩
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⟩
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
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⟩
Homam Betar, Daniele Del Sarto. Microscopic Current Sheets and Fast Tearing Modes in Plasma Turbulence. The Astrophysical Journal, 2025, 990 (1), pp.28. ⟨10.3847/1538-4357/adea47⟩. ⟨hal-05219245v1⟩ Plus de détails...
Since the seminal work by W. H. Matthaeus & S. L. Lamkin, a large amount of evidence has been collected over the years that magnetic reconnection can disrupt current sheets formed in turbulence. The details about how this happens, however, are not clear, yet. The observation of plasmoids suggests that tearing-type modes are involved, but their nature of spontaneous linear instabilities developing on a static (or at most steady) magnetic equilibrium poses strong constraints on their growth rate versus the timescale of the current sheet evolution. None of the tearing-based scenarios, which to date are most credited in literature, seems to fulfill both this constraint and other consistency requirements on the equilibrium profile. In revising them and the main hypotheses, which any tearing-based theory for 2D turbulent reconnection must satisfy, we propose a possible explanation—supported by numerical calculations—for why tearing modes may be relevant. This explanation is grounded on the microscopic thickness that current sheets attain in turbulence, which makes the growth rates of tearing modes large enough for the instability to possibly develop. At the same time, this implies that theoretical growth rates obtained from a boundary layer analysis cannot be applied in this case. We discuss a few implications of these elements in solar wind turbulence and in comparison with alternative models for tearing-based turbulent reconnection that are available in literature.
Homam Betar, Daniele Del Sarto. Microscopic Current Sheets and Fast Tearing Modes in Plasma Turbulence. The Astrophysical Journal, 2025, 990 (1), pp.28. ⟨10.3847/1538-4357/adea47⟩. ⟨hal-05219245v1⟩
Jingqi Zhang, Mitra Fouladirad, Nikolaos Limnios, Pierre Magnico. Stochastic modeling of movement for Helium particles in a graphite channel. Physica A: Statistical Mechanics and its Applications, 2025, 675, pp.130818. ⟨10.1016/j.physa.2025.130818⟩. ⟨hal-05246509⟩ Plus de détails...
In this article, we present a stochastic model for the movement of Helium particles within a graphite channel, focusing on Knudsen diffusion. We develop a semi-Markov model to describe the movement of the particle, derive the stationary distribution of its mean position, and analyze the model's asymptotic properties. To validate the model, we compare its theoretical outcomes with Monte Carlo simulations. As temperature significantly influences on the movement of particles, two situations are studied for high and low temperature. In both cases, theoretical and simulation results by Monte Carlo coincide. Furthermore, we propose estimation methods for the local parameters of the model and demonstrate its application using data from Molecular Dynamics simulations.
Jingqi Zhang, Mitra Fouladirad, Nikolaos Limnios, Pierre Magnico. Stochastic modeling of movement for Helium particles in a graphite channel. Physica A: Statistical Mechanics and its Applications, 2025, 675, pp.130818. ⟨10.1016/j.physa.2025.130818⟩. ⟨hal-05246509⟩
Journal: Physica A: Statistical Mechanics and its Applications
Adrien Magne, Emilie Carretier, Lilivet Ubiera Ruiz, Thomas Clair, Morgane Le Hir, et al.. Membrane separation between homogeneous palladium-based catalysts and industrial active pharmaceutical ingredients from a complex organic solvent matrix: First approach using ceramic membranes. Separation and Purification Technology, 2025, 359, pp.130442. ⟨10.1016/j.seppur.2024.130442⟩. ⟨hal-05042327⟩ Plus de détails...
Palladium-based homogeneous catalysts are indispensable in the pharmaceutical field due to the high reaction yields and high selectivity they can reach. However, they are toxic and sensitive to oxidation. Isolating these complexes from pharmaceutical molecules at the end of the synthesis without degrading both compounds could therefore lead to major environmental and economic gains. This study focuses on the separation between a real pharmaceutical intermediate at around 600 g mol -1 and a palladium catalyst PdCl 2 (PPh 3 ) 2 at 701.9 g mol -1 using ceramic membranes in organic solvent phase. For improving this separation, substitute catalysts with higher molecular weights and/or higher steric hindrances had been selected, and MWCO of 1000, 750, and 250 Da had been evaluated. The interest of catalyst enlargement had been confirmed with Pd retentions from 13 % (reference) to 18 % (heavier complex), but this approach was limited by economic aspect which restricted the choice of potential substitutes. Nanofiltration membranes with lower cut-off points have led to slightly higher retentions, but membrane characterization concluded that experimental MWCO were similar between all membranes, therefore raising questions about the definition of MWCO for different manufacturers.
Adrien Magne, Emilie Carretier, Lilivet Ubiera Ruiz, Thomas Clair, Morgane Le Hir, et al.. Membrane separation between homogeneous palladium-based catalysts and industrial active pharmaceutical ingredients from a complex organic solvent matrix: First approach using ceramic membranes. Separation and Purification Technology, 2025, 359, pp.130442. ⟨10.1016/j.seppur.2024.130442⟩. ⟨hal-05042327⟩
