Loading...
Bienvenue sur l'archive ouverte HAL de l'Institut Polytechnique de Paris
Elle comprend les publications des 5 établissements membres de l'IP Paris (cliquer sur leur logo pour accéder à leur portail HAL) :
![]() |
![]() |
![]() |
![]() |
![]() |
École polytechnique | ENSTA Paris | ENSAE Paris | Télécom Paris | Télécom SudParis |
Derniers dépôts
-
-
-
-
-
-
Pierre-Yves Brillet, Alice Peyraut, Jean-François Bernaudin, Catalin Fetita, Hilario Nunes, et al.. What is personalized lung poromechanical modeling and how can it improve the understanding and management of fibrotic interstitial lung diseases?. Expert Review of Respiratory Medicine, 2025, ⟨10.1080/17476348.2025.2464886⟩. ⟨hal-04938021⟩
-
-
-
-
-
-
Attilio Frangi, Alessio Colombo, Alessandra Vizzaccaro, Cyril Touzé. Reduced order modelling of fully coupled electro-mechanical systems through invariant manifolds with applications to microstructures. International Journal for Numerical Methods in Engineering, 2024, 126 (3), pp.e7641. ⟨10.1002/nme.7641⟩. ⟨hal-04935025⟩
-
-
-
Documents avec texte intégral
13 378
Publications en Open Access
79 %
Références bibliographiques
8 037
Nuage de mots-clés
Signature
Neural networks
Experimental results
Rapidity dependence
Differential cross section measured
Optimisation
Rapidity
Security
Privacy
Bottom particle identification
13000 GeV-cms
Kinematics
Data analysis method
Jet bottom
Apprentissage profond
P p colliding beams
Error statistical
Calibration
Performance
Meson
CMS
Programming
Machine Learning
Hadron-Hadron Scattering
FOS Physical sciences
Machine learning
Turbulence
Parton distribution function
Gravitation
LHC-B
Quantum chromodynamics
Suppression
Silicon
Simulation
Atmosphere
Sensitivity
Branching ratio ratio measured
Anomaly detection
Neural network
Electron
Channel cross section upper limit
Climate change
Muon
Hadron-Hadron scattering experiments
Electroweak interaction
Laser
P p scattering
8000 GeV-cms
Training
Statistical analysis
Mars
CERN LHC Coll
Reinforcement learning
Apprentissage automatique
Deep learning
7000 GeV-cms
Transverse momentum dependence
Top pair production
Transverse momentum
5G
Muon pair production
Resonance production
CP violation
Heavy ion scattering
Effective field theory
Artificial intelligence
Statistical
Holography
Channel cross section measured
Channel cross section branching ratio upper limit
FOS Computer and information sciences
IoT
Monte Carlo
Photon
Modeling
KAMIOKANDE
Stability
TeV
Supersymmetry
Blockchain
Signal processing
Z0 leptonic decay
Correlation
Internet of Things
Structure
Numerical calculations Monte Carlo
GeV
Lead
Deep Learning
CERN Lab
Phase space
Transverse momentum missing-energy
Mass dependence
Branching ratio
Optimal transport
Quark
Optimization
Lepton
Plasma
Background