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Kai Chang

3 papers hereh-index 313 citations6 works total

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

author position
  • last author3

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

fields
  • cond-mat.mes-hall2
  • cond-mat.mtrl-sci1
same name
  • Kai Chang — 34 papers, h 36
  • Kai Chang — 13 papers, h 4
  • Kai Chang — 12 papers, h 22
  • Kai Chang — 11 papers, h 3
  • Kai Chang — 7 papers, h 3
  • Kai Chang — 3 papers, h 9

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
20222025
most citedSelf-supervised Representations and Node Embedding Graph Neural Networks for Accurate and Multi-scale Analysis of Materials

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mes-hall2025★ 1 cited

Spin-polarized scanning tunneling microscopy measurement scheme for determining the quantum geometric tensor

Shu-Hui Zhang, Jin Yang, Ding-Fu Shao +4

The quantum geometric tensor (QGT) embodies the geometry of the eigenstates of a system's Hamiltonian, and its full characterization across diverse quantum systems is essential. Ho…

cond-mat.mes-hall2023

Geometric density of states of electronic structures for local responses: Phase information from the amplitudes of STM measurement

Shu-Hui Zhang, Jin Yang, Ding-Fu Shao +3

Electronic band structures underlie the physical properties of crystalline materials, their geometrical exploration renovates the conventional cognition and brings about novel appl…

cond-mat.mtrl-sci2022★ 2 cited

Self-supervised Representations and Node Embedding Graph Neural Networks for Accurate and Multi-scale Analysis of Materials

Jian-Gang Kong, Ke-Lin Zhao, Jian Li +5

Supervised machine learning algorithms, such as graph neural networks (GNN), have successfully predicted material properties. However, the superior performance of GNN usually relie…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.