Cover Image

Physics Informed Bayesian Machine Learning of Sparse and Imperfect Nuclear Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Jiaming, Su, Yang, Shu, N. C., Chen, Y. J., Pei, J. C.
Format:	Preprint
Published:	2026
Subjects:	Nuclear Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Inference of Nuclear-Matter Density from Proton Scattering
by: Zamora, J. C.
Published: (2025)

Nuclear transitions on demand
by: Yang, C. -J.
Published: (2025)

Nuclear Physics under the low-energy, high intensity frontier
by: Yang, C. -J., et al.
Published: (2025)

Nuclear Physics and the European Particle Physics Strategy Update 2026
by: Fraile, L. M., et al.
Published: (2025)

A Bayesian Analysis of Nuclear Deformation Properties with Skyrme Energy Functionals
by: Schunck, N., et al.
Published: (2020)

Linking Electromagnetic Moments to Nuclear Interactions with a Global Physics-Driven Machine-Learning Emulator
by: Munoz, Jose M., et al.
Published: (2026)

Coupled-Cluster Calculations of Infinite Nuclear Matter in the Complete Basis Limit Using Bayesian Machine Learning
by: Butler, Julie, et al.
Published: (2024)

Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning
by: Lu, Yanhua, et al.
Published: (2026)

Principal Components of Nuclear Mass Model Residuals
by: Huang, Y. Y., et al.
Published: (2025)

Bayesian uncertainty quantification on nuclear level density data and their impact on $(p,γ)$ reactions of astrophysical interest
by: Chalil, A., et al.
Published: (2024)

ENDF/B-VIII.1: Updated Nuclear Reaction Data Library for Science and Applications
by: Nobre, G. P. A., et al.
Published: (2025)

Quantum Entanglement in Nuclear Fission
by: Qiang, Yu, et al.
Published: (2024)

Muon Nuclear Data Development Project
by: Watanabe, Yukinobu, et al.
Published: (2026)

Nuclear charge radii of germanium isotopes around $N$ = 40
by: Wang, S. J., et al.
Published: (2024)

Monopole Excitation and Nuclear Compressibility: Present and Future Perspectives
by: Zamora, J. C., et al.
Published: (2024)

Illuminating Systematic Trends in Nuclear Data with Generative Machine Learning Models
by: Fox, Jordan M. R., et al.
Published: (2024)

High Quality Microscopic Nuclear Masses of Superheavy Nuclei
by: Guan, Dawei, et al.
Published: (2024)

Nuclear structure properties of $^{184-194}$Pb isotopes and isomers
by: Shukla, S., et al.
Published: (2025)

Nuclear Fragmentation at the Future Electron-Ion Collider
by: Bertulani, C. A., et al.
Published: (2024)

Discovering Nuclear Models from Symbolic Machine Learning
by: Munoz, Jose M., et al.
Published: (2024)

A Physics Informed Bayesian Neural Network for the Neutron Star Equation of State
by: Baker, J. D., et al.
Published: (2026)

Many-Body Effects on Nuclear Short Range Correlations
by: Shang, Haoyu, et al.
Published: (2025)

Nuclear medium effects on the properties of $Λ(1405)$
by: Süngü, J. Y., et al.
Published: (2024)

Quantum Fluctuations Drive Angular Momenta in Nuclear Fission
by: Zhou, M. H., et al.
Published: (2023)

Electromagnetic and Exotic Moments in Nuclear DFT
by: Dobaczewski, J., et al.
Published: (2025)

Physics-Informed Neural Network for Solving the Diffusion Equation in the Expanding QCD Medium
by: Fan, Wenhua, et al.
Published: (2026)

White Paper on Software Infrastructure for Advanced Nuclear Physics Computing
by: Jacobs, P. M., et al.
Published: (2025)

Conflation of Ensemble-Learned Nuclear Mass Models for Enhanced Precision
by: Agrawal, Srikrishna, et al.
Published: (2025)

Symmetry restoration in the axially deformed proton-neutron quasiparticle random phase approximation for nuclear beta decay: The effect of angular-momentum projection
by: Chen, R. N., et al.
Published: (2025)

High-Dimensional Bayesian Calibration of Expensive Nuclear Models with Differentiable Emulation
by: Lei, Jin
Published: (2026)

NuPECC Long Range Plan 2024 for European Nuclear Physics
by: NuPECC
Published: (2025)

Nuclear density dependence of polarization transfer in quasi-elastic ${\rm A}(\vec{e},e' \vec{p})$ reactions
by: Kolar, T., et al.
Published: (2023)

Microscopic Description of Rotational Nuclear Fission Elucidates Fragment Spin Generation and Scission Mechanism
by: Qiang, Yu, et al.
Published: (2026)

Understanding Charge Radii with Machine Learning: Discovering Physics Expressions
by: Maheshwari, B., et al.
Published: (2025)

Multi-Cycle PWR Modeling with DRAGON and PARCS: Implications for Nuclear Data Assessment
by: Meunier, Benjamin Arthur Hugo
Published: (2025)

Impact of Uncertainties in Nuclear Reaction Cross Sections on p-Nucleosynthesis in Thermonuclear Supernovae
by: Rauscher, T., et al.
Published: (2019)

Non-Resonant Alpha-Induced Neutron-Emission: A Multi- Method Comparison Of Nuclear Reaction Rates
by: Luthra, Bhavay, et al.
Published: (2025)

Three-body Effect in Short-range Correlations
by: Shang, H. Y., et al.
Published: (2026)

High Precision Binding Energies from Physics Informed Machine Learning
by: Bentley, Ian, et al.
Published: (2024)

Nuclear mass predictions with anisotropic kernel ridge regression
by: Wu, X. H., et al.
Published: (2024)