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H. Sun 孙

5 papers hereh-index 451 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 5 papers where every author was matched, so the position is known.

fields
  • hep-ex2
  • hep-ph2
  • cond-mat.supr-con1
same name
  • H. Sun 孙 — 1 paper, h 0
  • H. Sun 孙 — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

hep-ph2026

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 Z2​×Z2′​ symmetry. To guarantee the stability of the vacuum, w…

cond-mat.supr-con2025

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 (Tc​), has been a vibrant area of study within the field of condensed matt…

hep-ex2025

Search for the Cabibbo-suppressed decays I^›c+​→I^£0K+I¨€0 and I^›c+​→I^£0K+I¨€+I¨€−

BESIII Collaboration, M. Ablikim, M. N. Achasov +679

Utilizing 4.5 fb− of e+e− 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-ph2024

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…

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