output
20122026
most citedMomentum Transfer from the DART Mission Kinetic Impact on Asteroid Dimorphos

229 citations

37 papers

cs.CE2026

Aerodynamic Shape Design Space Exploration with Deep Latent Diffusion Model

Zhen Wei, Edouard Dufour, Colin Pelletier +2

We propose DiffGeo, a latent space diffusion-based generative framework for aerodynamic design space exploration under extreme data scarcity. DiffGeo combines a learned latent spac…

cs.HC2026

FleetScape: A Mixed Reality Sandtable for Spatial Supervision and Control of Scalable Drone Fleets

Peisen Xu, Jérémie Garcia, Peter Cleveland +2

As autonomous drone deployments scale from individual units to coordinated swarms, the human operator's role shifts from direct piloting to high-level supervision. Current interfac…

astro-ph.IM2026★ 1 cited

Fusion of JWST data: Demonstrating practical feasibility

Landry Marquis, Claire Guilloteau, Thomas Oberlin +2

Data fusion is a computational process widely used in Earth observation to generate high-resolution hyperspectral data cubes with two spatial and one spectral dimensions. It merges…

cs.CE2025★ 5 cited

Efficient Multi-Objective Constrained Bayesian Optimization of Bridge Girder

Heine Havneraas Røstum, Joseph Morlier, Sebastien Gros +1

The buildings and construction sector is a significant source of greenhouse gas emissions, with cement production alone contributing 7~\% of global emissions and the industry as a…

cs.PL2025

Reactive Semantics for User Interface Description Languages

Basile Pesin, Celia Picard, Cyril Allignol

User Interface Description Languages (UIDLs) are high-level languages that facilitate the development of Human-Machine Interfaces, such as Graphical User Interface (GUI) applicatio…

astro-ph.HE2025★ 1 cited

Pulsar+escape: the recipe for LHAASO sources ?

Pierrick Martin, Inès Mertz, Jean Kempf +3

Observations of our Galaxy at very-high and ultra-high photon energies have revealed a rich population of sources, many of which have significant angular extension and/or are posit…

cs.LG2025★ 2 cited

Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design

Paul Saves, Edward Hallé-Hannan, Jasper Bussemaker +2

Simulation-based problems involving mixed-variable inputs frequently feature domains that are hierarchical, conditional, heterogeneous, or tree-structured. These characteristics po…

astro-ph.SR2025

Angular momentum relaxation in models of rotating early-type stars

Michel Rieutord, Enzo Enzo Brossier-Sécher, Joey Mombarg

The rotational evolution of stars is still an open question of stellar physics because of the numerous phenomena that can contribute to the distribution of angular momentum. This p…

cs.CE2025★ 1 cited

Numerical optimization of aviation decarbonization scenarios: balancing traffic and emissions with maturing energy carriers and aircraft technology

Ian Costa-Alves, Nicolas Gourdain, François Gallard +3

Despite being considered a hard-to-abate sector, aviation's emissions will play an important role in long-term climate mitigation of transportation. The introduction of low-carbon…

math.OC2025★ 11 cited

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems

Jasper H. Bussemaker, Paul Saves, Nathalie Bartoli +2

Choosing the right system architecture for the problem at hand is challenging due to the large design space and high uncertainty in the early stage of the design process. Formulati…

astro-ph.IM2024★ 10 cited

GTOC 12: Results from TheAntipodes

Roberto Armellin, Andrea Bellome, Xiaoyu Fu +4

We present the solution approach developed by the team `TheAntipodes' during the 12th edition of the Global Trajectory Optimization Competition (GTOC 12). An overview of the approa…

cs.CE2024★ 36 cited

Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations

Giovanni Catalani, Siddhant Agarwal, Xavier Bertrand +3

This paper presents a methodology to learn surrogate models of steady state fluid dynamics simulations on meshed domains, based on Implicit Neural Representations (INRs). The propo…

astro-ph.EP2024★ 2 cited

Impact disruption of Bjurböle porous chondritic projectile

Tomas Kohout, Maurizio Pajola, Assi-Johanna Soini +10

The ~200 m/s impact of a single 400-kg Bjurböle L/LL ordinary chondrite meteorite onto sea ice resulted in the catastrophic disruption of the projectile. This resulted in a signifi…

math.OC2023★ 7 cited

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft

Paul Saves, Youssef Diouane, Nathalie Bartoli +2

Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this context, different approaches can be u…

math.OC2023★ 1 cited

Graph-Based Convexification of Nested Signal Temporal Logic Constraints for Trajectory Optimization

Thomas Claudet, Davide Martire, Damiana Losa +2

Optimizing high-level mission planning constraints is traditionally solved in exponential time and requires to split the problem into several ones, making the connections between t…

astro-ph.SR2023★ 18 cited

Testing MURaM and MPS-ATLAS against the quiet solar spectrum

Veronika Witzke, Alexander I. Shapiro, Nadiia M. Kostogryz +8

Three-dimensional (3D) radiative magnetohydrodynamics (MHD) simulations are the only way to model stellar atmospheres without any ad hoc parameterisations. Several 3D radiative MHD…

cs.MA2023★ 1 cited

Online Proactive Multi-Task Assignment with Resource Availability Anticipation

Déborah Conforto Nedelmann, Jérôme Lacan, Caroline Chanel

With the emergence of services and online applications as taxi dispatching, crowdsourcing, package or food delivery, industrials and researchers are paying attention to the online…

eess.SY2023★ 4 cited

Robust Optimization, Structure/Control co-design, Distributed Optimization, Monolithic Optimization, Robust Control, Parametric Uncertainty

Francesco Sanfedino, Daniel Alazard, Andy Kiley +3

This paper presents an end-to-end framework for robust structure/control optimization of an industrial benchmark. When dealing with space structures, a reduction of the spacecraft…

astro-ph.EP2023★ 21 cited

Perturbed Initial Orbit Determination

Alberto Fossà, Matteo Losacco, Roberto Armellin

An algorithm for robust initial orbit determination (IOD) under perturbed orbital dynamics is presented. By leveraging map inversion techniques defined in the algebra of Taylor pol…

cs.LG2023★ 125 cited

SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes

Paul Saves, Remi Lafage, Nathalie Bartoli +6

The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. Thi…

astro-ph.EP2023★ 229 cited

Momentum Transfer from the DART Mission Kinetic Impact on Asteroid Dimorphos

Andrew F. Cheng, Harrison F. Agrusa, Brent W. Barbee +66

The NASA Double Asteroid Redirection Test (DART) mission performed a kinetic impact on asteroid Dimorphos, the satellite of the binary asteroid (65803) Didymos, at 23:14 UTC on Sep…

stat.ML2023★ 40 cited

Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem

Anass Akrim, Christian Gogu, Rob Vingerhoeds +1

With the increasing availability of data for Prognostics and Health Management (PHM), Deep Learning (DL) techniques are now the subject of considerable attention for this applicati…

math.OC2022★ 22 cited

A mixed-categorical correlation kernel for Gaussian process

P. Saves, Y. Diouane, N. Bartoli +2

Recently, there has been a growing interest for mixed-categorical meta-models based on Gaussian process (GP) surrogates. In this setting, several existing approaches use different…

astro-ph.SR2022★ 14 cited

Viscous inertial modes on a differentially rotating sphere: Comparison with solar observations

Damien Fournier, Laurent Gizon, Laura Hyest

In a previous paper we studied the effect of latitudinal rotation on solar equatorial Rossby modes in the beta-plane approximation. Since then, a rich spectrum of inertial modes ha…