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C. Guan

4 papers hereh-index 12 citations7 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci2
  • eess.IV1
  • hep-ex1
same name
  • C. Guan — 297 papers, h 22
  • C. Guan — 111 papers, h 5
  • C. Guan — 36 papers, h 4
  • C. Guan — 9 papers, h 4
  • C. Guan — 9 papers, h 3
  • C. Guan — 7 papers, h 0

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

collaborators

4 papers

cond-mat.mtrl-sci2026

Discovering physical mechanisms from experiment-simulation mismatches

Yue Li, Penghui Yang, Yushan Xiao +7

Scientific discovery often begins where observation and prediction disagree. As computation and machine learning survey chemical space, experiment-simulation mismatches are exposed…

hep-ex2025

First measurement of the cross sections for e+e−→K0K−π+J/ψ+c.c. at s​ from 4.396 to 4.951 GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +701

Using e+e− collision data at 19 center-of-mass energies ranging from 4.396 to 4.951 GeV corresponding to a total integrated luminosity of 8.86 fb−1 coll…

cond-mat.mtrl-sci2025

Autonomous Multi-objective Alloy Design through Simulation-guided Optimization

Penghui Yang, Chendong Zhao, Bijun Tang +11

Alloy discovery is constrained by vast compositional spaces, competing objectives, and prohibitive experimental costs. Although simulations and machine learning have each accelerat…

eess.IV2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

Navodini Wijethilake, Reuben Dorent, Marina Ivory +38

The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assist…

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