Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Zhan-Yun Zhang

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
The Journal of Physical Chemistry. B|July 8, 2025
Machine Learning with Physically Inspired Descriptors to Predict Solvation Free Energies of Neutral and Ionic Solutes in Aqueous and Nonaqueous SolventsLuyang Jia, Zhan-Yun Zhang, Lin Shen, et al.
Journal of Chemical Theory and Computation|January 30, 2025
PiNN: Equivariant Neural Network Suite for Modeling Electrochemical SystemsJichen Li, Lisanne Knijff, Zhan-Yun Zhang, et al.
The Journal of Physical Chemistry Letters|February 13, 2023
Machine Learning Prediction of Hydration Free Energy with Physically Inspired DescriptorsZhan-Yun Zhang, Ding Peng, Lihong Liu, et al.
Chemical Communications (Cambridge, England)|February 14, 2013
Anion-induced changes of structure interpenetration and magnetic properties in 3D Dy-Cu metal-organic frameworksPeng-Fei Shi, Gang Xiong, Bin Zhao, et al.
Chemical Communications (Cambridge, England)|January 27, 2015
Heterometal-organic frameworks as highly sensitive and highly selective luminescent probes to detect I⁻ ions in aqueous solutionsPeng-Fei Shi, Huan-Cheng Hu, Zhan-Yun Zhang, et al.
Inorganic Chemistry|May 12, 2025
Optimizing Multivariate Metal-Organic Frameworks for Electrochemical Sensing of Dihydroxybenzene IsomersCun-Di Hao, Zhan-Yun Zhang, Ai-Xuan Yu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. B|July 8, 2025
Machine Learning with Physically Inspired Descriptors to Predict Solvation Free Energies of Neutral and Ionic Solutes in Aqueous and Nonaqueous SolventsLuyang Jia, Zhan-Yun Zhang, Lin Shen, et al.
Journal of Chemical Theory and Computation|January 30, 2025
PiNN: Equivariant Neural Network Suite for Modeling Electrochemical SystemsJichen Li, Lisanne Knijff, Zhan-Yun Zhang, et al.
The Journal of Physical Chemistry Letters|February 13, 2023
Machine Learning Prediction of Hydration Free Energy with Physically Inspired DescriptorsZhan-Yun Zhang, Ding Peng, Lihong Liu, et al.
Chemical Communications (Cambridge, England)|February 14, 2013
Anion-induced changes of structure interpenetration and magnetic properties in 3D Dy-Cu metal-organic frameworksPeng-Fei Shi, Gang Xiong, Bin Zhao, et al.
Chemical Communications (Cambridge, England)|January 27, 2015
Heterometal-organic frameworks as highly sensitive and highly selective luminescent probes to detect I⁻ ions in aqueous solutionsPeng-Fei Shi, Huan-Cheng Hu, Zhan-Yun Zhang, et al.
Inorganic Chemistry|May 12, 2025
Optimizing Multivariate Metal-Organic Frameworks for Electrochemical Sensing of Dihydroxybenzene IsomersCun-Di Hao, Zhan-Yun Zhang, Ai-Xuan Yu, et al.
Pageof 1