Recent advances in nuclear structure physics 2018 (RANSP2018)11/29-12/3

2018/11/29 — 2018/12/03
Panasonic Auditorium, Yukawa Hall, YITP

The international workshop “Recent advances in nuclear structure physics 2018 (RANSP2018)” will be held at Yukawa Institute for Theoretical Physics, Kyoto University, Japan, during 29 Nov — 3 Dec 2018. This workshop covers a wide area of nuclear structure and reaction physics and gives an opportunity to discuss with Prof. A. Afanasjev, who will be visiting YITP as a visiting professor. Also, Prof. D. Vretenar comes to the workshop.
The topics include

* Density functional theory for the nuclear structure
* Ab initio nuclear structure and reaction based on the realistic interactions
* High spin states and exotic structures of nuclei
* New excitation modes of neutron-rich nuclei
* Observables for the contributions of tensor and three-body interactions
* Developments of the experiments for the nuclear structure and reaction
* Other related topics

The deadline for the registration is 14 Oct. 2018.

Organizers : Abe, Takashi(CNS), Hinohara, Nobuo(Tsukuba), Horiuchi, Wataru(Hokkaido), Itagaki, Naoyuki(YITP), Yoshida, Kenichi (Kyoto)

Program for Promoting Researches on the Supercomputer Fugaku

BasicScience for Emergence and Functionality in Quantum Matter Toward a unified view of the universe: from large scale structures to planets Human-scale whole brain simulation with connectome analysis and structure-function estimation Development of nuclear fusion plasma confinement physics Large Ensemble Atmospheric and Environmental Prediction for Disaster Prevention and Mitigation Large-scale numerical simulation of earthquake generation, wave propagation and soil amplification Quantum-Theory-Based Multiscale Simulations toward the Development of Next-Generation Energy-Saving Semiconductor Devices Computational and Data Science Study for ET Revolution by Development of Next-Generation Battery and Fuel Cell Digital Twins of Real World's Clean Energy Systems with Integrated Utilization of Super-simulation and AI