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Dialogue on Supranuclear Matter at the Dream Field:A Summary
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作者 ZHOU Enping JIANG Jinchen +4 位作者 LUO Yudong WANG Weiyang XIA Chengjun ZHANG Chen XU Renxin 《北京大学学报(自然科学版)》 EI CAS CSCD 北大核心 2024年第6期1143-1156,共14页
Understanding the equation of state of cold dense matter,i.e.,those inside neutron stars,is a key problem in the multi-messenger astronomical era.In order to facilitate the scientific discussions between different com... Understanding the equation of state of cold dense matter,i.e.,those inside neutron stars,is a key problem in the multi-messenger astronomical era.In order to facilitate the scientific discussions between different commu-nities in the relevant fields,particularly between nuclear physicists and astrophysicists,we have organized the Dialo-gue at the Dream Field(DDF2024).The participants explored topics of various fields such as pulsar astrophysics,transient phenomena,hadronic and nuclear matter,supra-nuclear matter with quark degree of freedom,numerical relativity.This involved discussions on the mechanisms,model constructions,observational impacts,and introduc-tions of new facilities.In-depth exchanges were carried out through invited talks and free discussions,as well as a visit to view the FAST telescope. 展开更多
关键词 pulsar neutron star γ-ray burst fast radio burst dense matter numerical relativity
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Backflow Transformation for A=3 Nuclei with Artificial Neural Networks
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作者 YANG Yilong ZHAO Pengwei 《原子能科学技术》 EI CAS CSCD 北大核心 2023年第4期673-678,共6页
A novel variational wave function defined as a Jastrow factor multiplying a backflow transformed Slater determinant was developed for A=3 nuclei.The Jastrow factor and backflow transformation were represented by artif... A novel variational wave function defined as a Jastrow factor multiplying a backflow transformed Slater determinant was developed for A=3 nuclei.The Jastrow factor and backflow transformation were represented by artificial neural networks.With this newly developed wave function,variational Monte Carlo calculations were carried out for3H and3He nuclei starting from a nuclear Hamiltonian based on the leadingorder pionless effective field theory.The obtained ground-state energy and charge radii were successfully benchmarked against the results of the highly-accurate hypersphericalharmonics method.The backflow transformation plays a crucial role in improving the nodal surface of the Slater determinant and,thus,providing accurate ground-state energy. 展开更多
关键词 nuclear many-body problem quantum Monte Carlo artificial neural network backflow transformation
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