1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CE2023★ 1 cited
XVoxel-Based Parametric Design Optimization of Feature Models
Ming Li, Chengfeng Lin, Wei Chen +3
Parametric optimization is an important product design technique, especially in the context of the modern parametric feature-based CAD paradigm. Realizing its full potential, howev…
cond-mat.supr-con2023
Revealing intrinsic vortex-core states in Fe-based superconductors through machine-learning-driven discovery
Yueming Guo, Hu Miao, Qiang Zou +5
Electronic states within superconducting vortices hold crucial information about paring mechanisms and topology. While scanning tunneling microscopy/spectroscopy(STM/S) can image t…
cond-mat.supr-con2023
Deciphering alloy composition in superconducting single-layer FeSe1-xSx on SrTiO3(001) substrates by machine learning of STM/S data
Qiang Zou, Basu Dev Oli, Huimin Zhang +3
Scanning tunneling microscopy (STM) is a powerful technique for imaging atomic structure and inferring information on local elemental composition, chemical bonding, and electronic…