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
-
Irène Barbarin-Bocahu, Nathalie Ulryck, Amandine Rigobert, Nadia Ruiz Gutierrez, Laurence Decourty, et al.. Structure of the Nmd4-Upf1 complex supports conservation of the nonsense-mediated mRNA decay pathway between yeast and humans. PLoS Biology, 2024, 22 (9), pp.e3002821. ⟨10.1371/journal.pbio.3002821⟩. ⟨hal-04758977⟩
-
Maltase Mutanda, Sandiswa Figlan, Vincent Chaplot, Ntakadzeni Edwin Madala, Hussein Shimelis. Selection of Wheat ( Triticum aestivum L.) Genotypes Using Yield Components, Water Use Efficiency and Major Metabolites Under Drought Stress. Journal of Agronomy and Crop Science, 2024, 210 (5), ⟨10.1111/jac.12766⟩. ⟨hal-04756107⟩
-
Chloé Seibert, Christian Beck, Nathalie Feuillet, Eva Moreno, Denise Pons, et al.. Late Pleistocene charcoal-rich sediments in the Puerto Rico Trench, possible remnants of gigantic wildfires in North-Eastern South America. Palaeogeography, Palaeoclimatology, Palaeoecology, 2024, 655, pp.112497. ⟨10.1016/j.palaeo.2024.112497⟩. ⟨hal-04756190⟩
Documents avec texte intégral
12 295
Publications en Open Access
79 %
Références bibliographiques
7 672
Nuage de mots-clés
Top pair production
Jet bottom
Transverse momentum
Anomaly detection
Channel cross section measured
GeV
Holography
Optimisation
Muon pair production
KAMIOKANDE
Statistical analysis
Machine Learning
Photon
Hadron-Hadron scattering experiments
Blockchain
Suppression
Calibration
Plasma
Transverse momentum missing-energy
Supersymmetry
Simulation
CERN Lab
Kinematics
Machine learning
Rapidity
Differential cross section measured
Performance
Error statistical
Structure
Bottom particle identification
Reinforcement learning
Parton distribution function
Nucleus
Z0 leptonic decay
Signature
Privacy
Optimization
Sensitivity
Atmosphere
P p scattering
Laser
Stability
Neural networks
Artificial intelligence
Gravitation
Rapidity dependence
8000 GeV-cms
TeV
CP violation
Quantum chromodynamics
Experimental results
Effective field theory
New physics search for
Apprentissage profond
Neural network
Optimal transport
Turbulence
CERN LHC Coll
B physics
Security
Electron
Phase space
Correlation
IoT
Branching ratio ratio measured
Quark
Deep Learning
Heavy ion scattering
13000 GeV-cms
Branching ratio
Internet of Things
Channel cross section upper limit
CMS
FOS Physical sciences
Deep learning
Transverse momentum dependence
Mars
Resonance production
Numerical calculations Monte Carlo
Climate change
Background
Meson
Silicon
7000 GeV-cms
5G
Data analysis method
Apprentissage automatique
Hadron-Hadron Scattering
Statistical
Lepton
Muon
Mass dependence
P p colliding beams
Modeling
Channel cross section branching ratio upper limit
Monte Carlo
Programming
Lead
Electroweak interaction
LHC-B