Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Regnier D."'
Publikováno v:
EPJ Web of Conferences, Vol 146, p 04043 (2017)
Accurate knowledge of fission fragment yields is an essential ingredient of numerous applications ranging from the formation of elements in the r-process to fuel cycle optimization in nuclear energy. The need for a predictive theory applicable where
Externí odkaz:
https://doaj.org/article/111bf8e2dad947e98b2b0b23c6c23a4c
Publikováno v:
EPJ Web of Conferences, Vol 111, p 08005 (2016)
Accurate knowledge of fission fragment yields is an essential ingredient of numerous applications ranging from the formation of elements in the r-process to fuel cycle optimization in nuclear energy. The need for a predictive theory applicable where
Externí odkaz:
https://doaj.org/article/3ca05be1fa0c48b9b65e031dd91209d8
Autor:
Materna T., Letourneau A., Amouroux Ch., Marchix A., Litaize O., Sérot O., Regnier D., Blanc A., Jentschel M., Köster U., Mutti P., Soldner T., Simpson G., Leoni S., de France G., Urban W.
Publikováno v:
EPJ Web of Conferences, Vol 93, p 02020 (2015)
The feasibility of retrieving accurate fission observables with a Ge-detector array around a fissile target placed in a cold neutron beam was tested. In three measurement campaigns performed at ILL with the EXILL setup, 235U and 241Pu targets were pl
Externí odkaz:
https://doaj.org/article/82324b81374347339994a6a750a813fd
Publikováno v:
EPJ Web of Conferences, Vol 42, p 04003 (2013)
The prompt fission gamma spectra and multiplicities are investigated through the Monte Carlo code FIFRELIN which is developed at the Cadarache CEA research center. Knowing the fully accelerated fragment properties, their de-excitation is simulated th
Externí odkaz:
https://doaj.org/article/5a34f65a231d40a2932b2b6724fa01cb
Publikováno v:
Phys. Rev. Lett. 124, 162502 (2020)
We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the one achieved by state-of-the-art nuclear energy density functionals (E
Externí odkaz:
http://arxiv.org/abs/1910.04132
Autor:
Regnier, D., Lacroix, D.
Publikováno v:
Phys. Rev. C 99, 064615 (2019)
While superfluidity is accurately grasped with a state that explicitly breaks the particle number symmetry, a precise description of phenomena like the particle transfer during heavy-ion reactions can only be achieved by considering systems with good
Externí odkaz:
http://arxiv.org/abs/1902.06491
From Asymmetric to Symmetric Fission in the Fermium Isotopes within the Time-Dependent GCM Formalism
Publikováno v:
Phys. Rev. C 99, 024611 (2019)
Predicting the properties of neutron-rich nuclei far from the valley of stability is one of the major challenges of modern nuclear theory. In heavy and superheavy nuclei, a difference of only a few neutrons is sufficient to change the dominant fissio
Externí odkaz:
http://arxiv.org/abs/1810.08402
The time-dependent generator coordinate method (TDGCM) is a powerful method to study the large amplitude collective motion of quantum many-body systems such as atomic nuclei. Under the Gaussian Overlap Approximation (GOA), the TDGCM leads to a local,
Externí odkaz:
http://arxiv.org/abs/1707.06831
Publikováno v:
Phys. Rev. C 93, 054611 (2016)
Accurate knowledge of fission fragment yields is an essential ingredient of numerous applications ranging from the formation of elements in the r-process to fuel cycle optimization for nuclear energy. The need for a predictive theory applicable where
Externí odkaz:
http://arxiv.org/abs/1603.08824
Publikováno v:
Comput. Phys. Commun. 200, 350 (2016)
We describe the software package FELIX that solves the equations of the time-dependent generator coordinate method (TDGCM) in N-dimensions (N $\geq$ 1) under the Gaussian overlap approximation. The numerical resolution is based on the Galerkin finite
Externí odkaz:
http://arxiv.org/abs/1505.02704