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.
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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⟩
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⟩
Teddy Gresse, Julie Soriano, Auline Rodler, Jean-Claude Krapez, Jean Pierro, et al.. Qualification of microclimate models and simulation tools: An academic benchmark. Building and Environment, 2025, 278, pp.112913. ⟨10.1016/j.buildenv.2025.112913⟩. ⟨hal-05073994⟩ Plus de détails...
In recent decades, numerous urban microclimate models have been developed to address various applications, such as diagnosing urban overheating and evaluating heat mitigation strategies using green or grey solutions. These models account for complex physical interactions; however, their qualification and validation remain significant challenges due to their complexity and the lack of a standardized framework and comprehensive reference datasets. This paper presents the first step of a comprehensive qualification and validation methodology through the definition of an academic benchmark and its application to four urban microclimate models. The proposed methodology follows an incremental phenomenological approach, systematically analysing heat transfer processes within an idealized street canyon with well-defined conditions across four cases: shortwave radiation, longwave radiation, aeraulics, and their coupling with heat conduction and storage in walls and ground. The benchmark aims to analyse the behaviour of different microclimate models, quantify deviations between simulation results, and identify their underlying sources within the physical models. This is achieved through the intercomparison of simulation results, incorporating reference data with a known standard deviation where available. The results show good agreement between models for solar radiation, infrared radiation, and heat conduction but reveal significant deviations in surface convection, stressing the need for further research into convection modelling and its influence on coupled processes. Additionally, the results confirm the suitability of the proposed methodology in identifying the sources of deviations between models. This benchmark provides a robust framework for model qualification and is expected to be widely adopted in future studies.
Teddy Gresse, Julie Soriano, Auline Rodler, Jean-Claude Krapez, Jean Pierro, et al.. Qualification of microclimate models and simulation tools: An academic benchmark. Building and Environment, 2025, 278, pp.112913. ⟨10.1016/j.buildenv.2025.112913⟩. ⟨hal-05073994⟩
Jinhua Lu, Song Zhao, Pierre Boivin. A lattice-Boltzmann inspired finite volume solver for compressible flows. Computers and Mathematics with Applications, 2025, 187, pp.50-71. ⟨10.1016/j.camwa.2025.03.007⟩. ⟨hal-05086335v1⟩ Plus de détails...
The lattice Boltzmann method (LBM) for compressible flow is characterized by good numerical stability and low dissipation, while the conventional finite volume solvers have intrinsic conversation and flexibility in using unstructured meshes for complex geometries. This paper proposes a strategy to combine the advantages of the two kinds of solvers by designing a finite volume solver to mimic the LBM algorithm. It assumes an ideal LBM that can recover all desired higher-order moments. Time-discretized moment equations with second-order temporal accuracy and physically consistent dissipation terms are derived from the ideal LBM. By solving the recovered moment equations, a finite volume solver that can be applied to nonuniform meshes naturally, enabling body-fitted mass-conserving simulations, is proposed. Numerical tests show that the proposed solver can achieve good numerical stability from subsonic to hypersonic flows, and low dissipation for a long-distance entropy spot convection. For the challenging direct simulations of acoustic waves, its dissipation can be significantly reduced compared with the Lax-Wendroff solver of the same second-order spatial and temporal accuracy, while only remaining higher than that of the LBM on coarse meshes. The analysis implies that approximations of third-order temporal accuracy are required to recover the low dissipation of LBM further.
Jinhua Lu, Song Zhao, Pierre Boivin. A lattice-Boltzmann inspired finite volume solver for compressible flows. Computers and Mathematics with Applications, 2025, 187, pp.50-71. ⟨10.1016/j.camwa.2025.03.007⟩. ⟨hal-05086335v1⟩
Journal: Computers and Mathematics with Applications
B Clavier, D Zarzoso, D Del-Castillo-Negrete, E Frénod. A Generative Artificial Intelligence framework for long-time plasma turbulence simulations. Physics of Plasmas, In press, ⟨10.1063/5.0255386⟩. ⟨hal-05085168⟩ Plus de détails...
Generative deep learning techniques are employed in a novel framework for the construction of surrogate models capturing the spatio-temporal dynamics of 2D plasma turbulence. The proposed Generative Artificial Intelligence Turbulence (GAIT) framework enables the acceleration of turbulence simulations for long-time transport studies. GAIT leverages a convolutional variational auto-encoder and a recurrent neural network to generate new turbulence data from existing simulations, extending the time horizon of transport studies with minimal computational cost. The application of the GAIT framework to plasma turbulence using the Hasegawa-Wakatani (HW) model is presented, evaluating its performance via various analyses. Very good agreement is found between the GAIT and the HW models in the spatio-temporal Fourier and Proper Orthogonal Decomposition spectra, the flow topology characterized by the Okubo-Weiss parameter, and the time autocorrelation function of turbulent fluctuations. Excellent agreement has also been obtained in the probability distribution function of particle displacements and in the effective turbulent diffusivity. In-depth analyses of the latent space of turbulent states, choice of hyper-parameters and alternative deep learning models for the time prediction are presented. Our results highlight the potential of AI-based surrogate models to overcome the computational challenges in turbulence simulation, which can be extended to other situations such as geophysical fluid dynamics.
B Clavier, D Zarzoso, D Del-Castillo-Negrete, E Frénod. A Generative Artificial Intelligence framework for long-time plasma turbulence simulations. Physics of Plasmas, In press, ⟨10.1063/5.0255386⟩. ⟨hal-05085168⟩
Yaxin Shen, Mitra Fouladirad, Antoine Grall. Mathematical modeling of solar farm performance degradation in a dynamic environment for condition-based maintenance. Reliability Engineering and System Safety, 2025, 257, pp.110778. ⟨10.1016/j.ress.2024.110778⟩. ⟨hal-05023346⟩ Plus de détails...
Yaxin Shen, Mitra Fouladirad, Antoine Grall. Mathematical modeling of solar farm performance degradation in a dynamic environment for condition-based maintenance. Reliability Engineering and System Safety, 2025, 257, pp.110778. ⟨10.1016/j.ress.2024.110778⟩. ⟨hal-05023346⟩
Journal: Reliability Engineering and System Safety
Marc Le Boursicaud, Song Zhao, Jean-Louis Consalvi, Pierre Boivin. A reduced order numerical model for high-pressure hydrogen leak self-ignition. Combustion and Flame, 2025, pp.114003. ⟨10.1016/j.combustflame.2025.114003⟩. ⟨hal-04943886⟩ 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 (hemispherical expanding shock and contact discontinuity). The second is to properly resolve the diffusion/reaction interface, which has a very small length scale compared to the jet radius. We propose a low-order numerical model for such flows by first decoupling the flow and the diffusion/reaction interface into one cold flow and one reaction interface problem. The flow can be further simplified by assuming a "pseudo" 1D model with corrective source terms to account for axisymmetric (for a 2D test case) or spherical effects. Meanwhile, the diffusion interface is solved with a different space variable to optimize the mesh while using the results of flow simulation. The interface problem is further simplified by using the passive scalar approach recently developed for hydrogen ignition prediction (Le Boursicaud et al., Combust. Flame 256 (2023) 112938). Validation of the flow and interface solver is achieved through simple test cases, and the full configuration results are compared to the state-of-the-art model of the literature (Maxwell and Radulescu, Combust. Flame 158 (2011) 1946-1959).
Marc Le Boursicaud, Song Zhao, Jean-Louis Consalvi, Pierre Boivin. A reduced order numerical model for high-pressure hydrogen leak self-ignition. Combustion and Flame, 2025, pp.114003. ⟨10.1016/j.combustflame.2025.114003⟩. ⟨hal-04943886⟩
Polymorphism control in crystallization processes is critical for ensuring the final quality of active pharmaceutical ingredients (APIs). In the present research, the solvent-mediated phase transformation (SMPT) of paracetamol, a widely used API, from its metastable form II to the stable form I during seeded batch cooling crystallization in isopropyl alcohol/water solution is investigated. The study explores the utility of offline FT-NIR spectroscopy and an inline PAT Blaze900 probe to detect paracetamol polymorphs and monitor polymorphic changes. Key findings demonstrate that FT-NIR offers a robust offline alternative for polymorphism detection and monitoring. The PAT Blaze900 recordings, in terms of chord length counts and distributions, also provide additional information about form II SMPT and are in accordance with the FT-NIR prediction model output. The SMPT kinetics are influenced by operational parameters such as supersaturation and operational and cooling temperature. Optimization of these parameters enabled better control over the SMPT kinetics, paving the way for efficient stabilization of paracetamol metastable form II to 30 min before complete conversion to the most stable form I.
Carla Kalakech, Asma Madmar, Emilie Gagnière, Géraldine Agusti, Denis Mangin, et al.. Monitoring of Paracetamol Solvent-Mediated Phase Transformation in Seeded Batch Crystallization Processes. Crystal Growth & Design, 2025, ⟨10.1021/acs.cgd.4c01650⟩. ⟨hal-05006905⟩
During early development of multi-cellular animals, cells self-organize to set up the body axes, such as the primary head-to-tail axis, based on which the later body plan is defined. Several signaling pathways are known to control body axis formation. Here, we show, however, that tissue mechanics plays an important role during this process. We focus on the emergence of a primary axis in initially spherical aggregates of mouse embryonic stem cells, which mirrors events in the early mouse embryo. These aggregates break rotational symmetry to establish an axial organization with domains of different expression profiles, e.g. of the transcription factor T/Bra and the adhesion molecule E-cadherin. Combining quantitative microscopy and physical modeling, we identify large-scale tissue flows with a recirculation component and demonstrate that they significantly contribute to symmetry breaking. We show that the recirculating flows are explained by a difference in tissue surface tension across domains, akin to Marangoni flows, which we further confirm by aggregate fusion experiments. Our work highlights that body axis formation is not only driven by biochemical processes, but that it can also be amplified by tissue flows. We expect this type of amplification to operate in many other organoid and in-vivo systems.
Zohra Laggoune, Yasmine Masmoudi, Seyed Ali Sajadian, Elisabeth Badens. Sirolimus solubility in supercritical carbon dioxide: Measurement and modeling.. Journal of CO2 Utilization, 2025, 93, pp.103034. ⟨10.1016/j.jcou.2025.103034⟩. ⟨hal-04954883⟩ Plus de détails...
The solubility of drugs in supercritical carbon dioxide is a key parameter in their processing. This study focuses on sirolimus, an immunosuppressive drug used in organ transplantation. Its solubility in supercritical carbon dioxide was measured using a static gravimetric method. Measurements were carried out at pressures ranging from 12.5 MPa to 25.0 MPa and temperatures from 313 K to 328 K. The findings revealed a molar fraction range of sirolimus between 1.20 × 10 6 and 2.73 × 10 6 and a direct solubility behavior in the investigated domain. The experimental data were correlated using several models. These included semi-empirical density-based models (Chrastil, Mendez-Santiago and Teja, Bartle et al., Kumar and Johnston, Sparks et al., and Sodeifian et al.), as well as equation of state-based models (Soave-Redlich-Kwong and Peng-Robinson). The results indicated that Sparks et al. and Soave-Redlich-Kwong showed the lowest average absolute relative deviation (AARD%) and the corrected correlation coefficient (Radj) of 4.12 %, 0.978 and 05.18 %, 0.980 respectively.
Zohra Laggoune, Yasmine Masmoudi, Seyed Ali Sajadian, Elisabeth Badens. Sirolimus solubility in supercritical carbon dioxide: Measurement and modeling.. Journal of CO2 Utilization, 2025, 93, pp.103034. ⟨10.1016/j.jcou.2025.103034⟩. ⟨hal-04954883⟩
