Sensight enables quantitative multivariate engineering of high-performance chemical imaging tools
C
Chenglong Wen
Y
Ying Jiang
T
Tianruo Shen
(National Supercomputer Center in Tianjin)
X
Xuefeng Jiang
(Hainan Institute of East China Normal University, State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Process, School of Chemistry and Molecular Engineering, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, P. R. China)
S
Shiqi Fan
T
Taorui Yang
(State Key Laboratory of Chinese Medicine Modernization, College of Pharmaceutical Sciences)
X
Xiaogang Liu
Q
Qiong Luo
(Center for Computational Quantum Chemistry, School of Chemistry, South China Normal University)
X
Xin Li
Article Details
Journal
Nature Communications
Volume / Issue
Vol. 17, Issue 1
Published
January 27, 2026
ISSN
2041-1723
Publisher
Nature Portfolio
Authors (9)
C
Chenglong Wen
Y
Ying Jiang
T
Tianruo Shen
National Supercomputer Center in Tianjin
X
Xuefeng Jiang
Hainan Institute of East China Normal University, State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Process, School of Chemistry and Molecular Engineering, East China Normal University, 3663 North Zhongshan Road, Shanghai 200062, P. R. China
S
Shiqi Fan
T
Taorui Yang
State Key Laboratory of Chinese Medicine Modernization, College of Pharmaceutical Sciences
X
Xiaogang Liu
Q
Qiong Luo
Center for Computational Quantum Chemistry, School of Chemistry, South China Normal University
X
Xin Li
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