Issue |
EPJ Web of Conferences
Volume 88, 2015
IWM-EC 2014 – International Workshop on Multi facets of EoS and Clustering
|
|
---|---|---|
Article Number | 00003 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/epjconf/20158800003 | |
Published online | 24 April 2015 |
https://doi.org/10.1051/epjconf/20158800003
Spinodal instability growth in new stochastic approaches
1 IPN, CNRS/IN2P3, Université Paris-Sud 11, 91406 Orsay, France
2 INFN-LNS, Laboratori Nazionali del Sud, 95123 Catania, Italy
3 SUBATECH, EMN-IN2P3/CNRS-Université de Nantes, 44307 Nantes, France
Published online: 24 April 2015
Are spinodal instabilities the leading mechanism in the fragmentation of a fermionic system? Numerous experimental indications suggest such a scenario and stimulated much effort in giving a suitable description, without being finalised in a dedicated transport model.
On the one hand, the bulk character of spinodal behaviour requires an accurate treatment of the one-body dynamics, in presence of mechanical instabilities. On the other hand, pure mean-field implementations do not apply to situations where instabilities, bifurcations and chaos are present. The evolution of instabilities should be treated in a large-amplitude framework requiring fluctuations of Langevin type.
We present new stochastic approaches constructed by requiring a thorough description of the mean-field response in presence of instabilities. Their particular relevance is an improved description of the spinodal fragmentation mechanism at the threshold, where the instability growth is frustrated by the mean-field resilience.
© Owned by the authors, published by EDP Sciences - SIF, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.