:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Lalor, Peter, Adams, Henry, Hagen, Alex
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Nuclear Theory
Acceso en línea:	https://arxiv.org/abs/2412.07069
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy
por: Lalor, Peter, et al.
Publicado: (2026)

Prediction on total inventory of radioisotopes produced by the interaction of 20Ne beams on 181Ta (110-170 MeV)
por: Mukherjee, Sumana, et al.
Publicado: (2026)

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

The DNA of nuclear models: How AI predicts nuclear masses
por: Richardson, Kate A., et al.
Publicado: (2025)

From Neurons to Neutrons: A Case Study in Interpretability
por: Kitouni, Ouail, et al.
Publicado: (2024)

Global Framework for Emulation of Nuclear Calculations
por: Belley, Antoine, et al.
Publicado: (2025)

Further exploration of binding energy residuals using machine learning and the development of a composite ensemble model
por: Bentley, I., et al.
Publicado: (2025)

Weighted Levenberg-Marquardt methods for fitting multichannel nuclear cross section data
por: Imbrišak, M., et al.
Publicado: (2025)

Nuclear Data Adjustment for Nonlinear Applications in the OECD/NEA WPNCS SG14 Benchmark -- A Bayesian Inverse UQ-based Approach for Data Assimilation
por: Brady, Christopher, et al.
Publicado: (2025)

Re-optimization of a deep neural network model for electron-carbon scattering using new experimental data
por: Kowal, Beata E., et al.
Publicado: (2025)

Progress of photonuclear cross sections for medical radioisotope production at the SLEGS energy domain
por: Pang, Xuan, et al.
Publicado: (2024)

Predictions of charge density distributions for nuclei with $Z \geq 8$
por: Wang, Yun Dong, et al.
Publicado: (2026)

An Efficient Learning Method to Connect Observables
por: Yu, Hang, et al.
Publicado: (2025)

Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data
por: Fukushima, Kenji, et al.
Publicado: (2025)

Extrapolation to infinite model space of no-core shell model calculations using machine learning
por: Mazur, Aleksandr, et al.
Publicado: (2025)

Fundamental limitations of dual energy X-ray scanners for cargo content atomic number discrimination
por: Lalor, Peter, et al.
Publicado: (2023)

Dynamics of density fluctuations in atomic nuclei
por: Bonaiti, Francesca, et al.
Publicado: (2026)

Structure of the doubly magic nuclei $^{208}$Pb and $^{266}$Pb from ab initio computations
por: Bonaiti, Francesca, et al.
Publicado: (2025)

Ab initio computations of strongly deformed nuclei around $^{80}$Zr
por: Hu, B. S., et al.
Publicado: (2024)

Atomic number estimation of dual energy cargo radiographs: initial experimental results using a semiempirical transparency model
por: Lalor, Peter, et al.
Publicado: (2024)

Pairing phase transition in the odd-A nuclei: identification and classification
por: Wang, Yumeng, et al.
Publicado: (2024)

Electromagnetic observables of open-shell nuclei from coupled-cluster theory
por: Bonaiti, Francesca, et al.
Publicado: (2024)

First identification of a doublet wobbling excitation mode in $^{105}$Pd
por: Karmakar, A., et al.
Publicado: (2024)

Fission mode identification in the 180Hg region: derivative analysis approach
por: Melcom, D. T. Kattikat, et al.
Publicado: (2026)

Magnetic dipole transition in $^{48}$Ca
por: Acharya, B., et al.
Publicado: (2023)

Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model
por: Lalor, Peter, et al.
Publicado: (2023)

Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
por: Giuliani, Pablo, et al.
Publicado: (2024)

Neural Operators as Efficient Function Interpolators
por: Niarchos, Vasilis, et al.
Publicado: (2026)

Leveraging neural control variates for enhanced precision in lattice field theory
por: Bedaque, Paulo F., et al.
Publicado: (2023)

Training neural control variates using correlated configurations
por: Oh, Hyunwoo
Publicado: (2025)

Ab initio computations from $^{78}$Ni towards $^{70}$Ca along neutron number $N=50$
por: Hu, B. S., et al.
Publicado: (2024)

Structure and dynamics of open-shell nuclei from spherical coupled-cluster theory
por: Marino, Francesco, et al.
Publicado: (2025)

Electron-nucleus cross sections from transfer learning
por: Graczyk, Krzysztof M., et al.
Publicado: (2024)

Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods
por: Kowal, Beata E., et al.
Publicado: (2023)

Generative adversarial neural networks for simulating neutrino interactions
por: Bonilla, Jose L., et al.
Publicado: (2025)

Computing nuclear response functions with time-dependent coupled-cluster theory
por: Bonaiti, Francesca, et al.
Publicado: (2025)

Status report on long-time decay measurements of 137Cs radioisotope
por: Fenyvesi, Edit, et al.
Publicado: (2024)

Multiscale physics of atomic nuclei from first principles
por: Sun, Z. H., et al.
Publicado: (2024)

Coupled-cluster theory for strong entanglement in nuclei
por: Sun, Z. H., et al.
Publicado: (2023)

Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics
por: Gorard, Jonathan, et al.
Publicado: (2025)