4 papers
Copositive criteria for a two-component dark matter model
Xin-Xin Qi, Hao Sun
We consider a two-component scalar dark matter model in this work, where the scalars are stabilized by extra symmetry. To guarantee the stability of the vacuum, w…
InvDesFlow: An AI-driven materials inverse design workflow to explore possible high-temperature superconductors
Xiao-Qi Han, Zhenfeng Ouyang, Peng-Jie Guo +3
The discovery of new superconducting materials, particularly those exhibiting high critical temperature (), has been a vibrant area of study within the field of condensed matt…
Search for the Cabibbo-suppressed decays and
BESIII Collaboration, M. Ablikim, M. N. Achasov +679
Utilizing 4.5 of annihilation data collected at center-of-mass energies ranging from 4599.53 MeV to 4698.82 MeV by the BESIII detector at the BEPCII collider, we se…
HEP ML Lab: An end-to-end framework for applying machine learning into phenomenology studies
Jing Li, Hao Sun
Recent years have seen the development and growth of machine learning in high energy physics. There will be more effort to continue exploring its full potential. To make it easier…