Institution
Université Paris Sciences et Lettres
Recent research
- Health & MedicineOpen access
Abstract Background Diffuse gliomas are frequently associated with epilepsy, particularly in low-grade variants. Seizures are key events to be considered in glioma management, including during surgery. Optimizing resection of epileptic areas may affect not only postoperative epil...
- Physics & SpaceOpen access
Abstract Hyperactive repeaters provide a unique window into the evolving environments and energy budgets of fast radio burst (FRB) sources, though they may not be representative of the FRB population in general. High-cadence observations are key to capturing the rarest and most e...
- AI & ComputingOpen access
Interactions between few-photon microwave fields and superconducting artificial atoms provide a method to study photon statistics and manipulate quantum states for photonic quantum information processing. Superconducting transmons couple to microwave fields through an anharmonic...
- Climate & EnvironmentOpen access
Localized perturbations may affect spatially structured populations (SSPs) as a whole by altering dispersal between patches. Yet, such large-scale consequences remain poorly understood and may depend on the proportion of the SSP affected by the perturbation. Here, we used correla...
- Physics & SpaceOpen access
Decoding multiway gravitational junctions in AdS in terms of holographic quantum maps
A bstract It has been shown that multiway junctions gluing n copies of locally AdS 3 spacetimes ( n ≥ 2) can be described by n − 1 strings obeying non-linear Nambu-Goto equations coupled by Monge-Ampère like terms. Here we study how such junctions along with their stringy degrees...
- Materials & EnergyOpen access
Boron-containing compounds have received special interest over the last few years owing to their favorable photophysical characteristics, stimulating their use as fluorescent sensors, in bioimaging and mechanofluorochromic materials. However, their synthesis is often time-consumi...
- Physics & SpaceOpen access
Abstract Integral field spectroscopy (IFS) of the central kiloparsecs of active galactic nuclei (AGN) reveals a mixture of spatially coincident emission from star-formation and AGN feedback exciting the interstellar medium. Disentangling these components remains a challenge, as m...
- Materials & Energy
Abstract Machine-learned interatomic potentials (MLIPs) have emerged as a strategy to accelerate molecular simulations, offering the promise of quantum chemical accuracy at a cost close to that of classical force fields. They are commonly trained on reference data obtained at the...
- Health & MedicineOpen access
Spinal Muscular Atrophy (SMA) is a progressive neurodegenerative disorder characterized by lower motor neuron (MN) loss, due to mutations or deletions in the Survival Motor Neuron 1 ( SMN1 ) gene. Increasing evidence implies mitochondrial dysfunctions in SMA, suggesting these org...
- Biology
Chloride homeostasis, and thereby the efficacy of chloride-permeable GABAA receptor signaling, depends on the dynamic balance between NKCC1 (Na+-K+-2Cl- cotransporter 1) and KCC2 (K+-Cl- cotransporter 2), which respectively mediate chloride influx and extrusion to tightly control...
- Physics & SpaceOpen access
Universal random matrix behavior of a Fermionic quantum gas
Since its initial use by Wigner in describing heavy atom spectra, random matrix theory (RMT) has found applications and revealed universal laws in diverse physical contexts, from quantum field theory to disordered systems and wireless communications. A particularly compelling app...
- AI & ComputingOpen access
From Morse functions to Lefschetz fibrations on cotangent bundles
We prove that, for any Morse function on a compact manifold and any adapted gradient satisfying the Morse–Smale condition, there is a homotopically unique complex-valued symplectic Lefschetz fibration on the cotangent bundle whose restriction to the zero-section is the given func...
- AI & ComputingOpen access
Making an Annotated and Curated Corpus of Heliophysics Literature for Named Entity Recognition
Presentation for the DASH/IHDEA 2026 meeting in Dublin, Ireland. It relates about the work of Sébastien Durna, intern at Paris Observatory on the creation of a pre-annotated corpus for heliophysics named entity recognition using language models, and the thesis of Liza Fretel on t...
- Engineering & Technology
Abstract Perylene is a widespread molecular motif in materials science thanks to its phase-dependent optical response and its good excitation transport properties, making it ideal for many optoelectronic applications. However, the molecular-level understanding of how changing the...
- Climate & EnvironmentOpen access
PlanktonLake-CEREEP- A Freshwater Plankton Image Dataset with Semi-Automated Label Cleaning
Plankton plays a fundamental role in aquatic ecosystems, influencing biogeochemical cycles and serving as a key food source for many organisms. Recent high-throughput imaging technologies enable the rapid acquisition of large volumes of microscopic images, creating new opportunit...
- Materials & EnergyOpen access
Two-dimensional topological quantum chemistry and catalog of topological materials
Two-dimensional (2D) topological materials host symmetry-protected, disorder-robust edge states central to quantum technologies. Yet they remain scarce compared with their 3D counterparts. We adapted the topological quantum chemistry formalism to layer groups and studied the band...
- Engineering & TechnologyOpen access
2D theoretically twistable material database
The study of twisted two-dimensional (2D) materials, in which twisting layers create moiré superlattices, has created opportunities for investigating topological phases and strongly correlated physics. The broader potential of a seemingly infinite set of twistable 2D materials re...
- AI & ComputingOpen access
Faster Hamiltonian Monte Carlo by learning leapfrog scale: an offline randomized solution
Abstract We introduce a Hamiltonian Monte Carlo (HMC) methodology based on an offline empirical calibration of randomized leapfrog parameters. The approach, referred to as eHMC, where e stands for empirical, leverages importance sampling to construct an empirical distribution on...
- BiologyOpen access
A spectral framework for measuring diversity in multiple sequence alignments
Machine learning (ML) methods for proteins and RNAs rely on multiple sequence alignments (MSAs) and related datasets such as experimental mutagenesis libraries, yet the amount of usable information they contain remains unclear. Here, a spectral measure of information is recast in...
- AI & ComputingOpen access
ABSTRACT As author identifier services (AIDs) and academic social networks (ASNs) have become increasingly central to scholarly communication in the last decade, it is important to study how these tools are being used and how far researchers are involved in these services. This s...