Guang Lin (G Lin)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Coronavirus Disease

Silver Nanoparticles

Machine Learning

Top Venues

Nature communications

Journal of chemical information and modeling

The journal of physical chemistry letters

Proceedings. Mathematical, physical, and engineering sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Yangxi Zhang, Sheng Zhang, Hao Wu, Jinhui Wang, Guang Lin, A Ping Zhang
Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array. Nature communications 15 (1) (2024)
Yangxi Zhang, Sheng Zhang, Hao Wu, Jinhui Wang, Guang Lin, A Ping Zhang
Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array. Nature communications 15 (1) (2024)
Yikai Liu, Tushar Kanti Ghosh, Guang Lin, Ming Chen
Unbiasing Enhanced Sampling on a High-Dimensional Free Energy Surface with a Deep Generative Model. The journal of physical chemistry letters (2024)
Yangxi Zhang, Sheng Zhang, Hao Wu, Jinhui Wang, Guang Lin, A Ping Zhang
Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array. Nature communications 15 (1) (2024)
Yikai Liu, Tushar Kanti Ghosh, Guang Lin, Ming Chen
Unbiasing Enhanced Sampling on a High-Dimensional Free Energy Surface with a Deep Generative Model. The journal of physical chemistry letters 15 (14) (2024)
Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun
Efficient Exploration of Chemical Compound Space Using Active Learning for Prediction of Thermodynamic Properties of Alkane Molecules. Journal of chemical information and modeling (2023)
Yan Xiang, Yu-Hang Tang, Guang Lin, Daniel Reker
Interpretable Molecular Property Predictions Using Marginalized Graph Kernels. Journal of chemical information and modeling (2023)
Haoyang Zheng, Jeffrey R Petrella, P Murali Doraiswamy, Guang Lin, Wenrui Hao, null null
Data-driven causal model discovery and personalized prediction in Alzheimer's disease. NPJ digital medicine 5 (1) (2022)
Ehsan Kharazmi, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, George Em Karniadakis
Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature computational science 1 (11) (2021)
Yan Xiang, Yu-Hang Tang, Guang Lin, Huai Sun
A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network. Journal of chemical information and modeling 61 (11) (2021)
Frederick W Damen, David T Newton, Guang Lin, Craig J Goergen
Machine Learning Driven Contouring of High-Frequency Four-Dimensional Cardiac Ultrasound Data. Applied sciences (Basel, Switzerland) 11 (4) (2021)
Sheng Zhang, Joan Ponce, Zhen Zhang, Guang Lin, George Em Karniadakis
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City. PLoS computational biology 17 (9) (2021)
Georgios Karagiannis, Wenrui Hao, Guang Lin
Calibrations and validations of biological models with an application on the renal fibrosis. International journal for numerical methods in biomedical engineering 36 (5) (2020)
Y Du, Guang Lin
Turbulence generation from a stochastic wavelet model. Proceedings. Mathematical, physical, and engineering sciences 474 (2217) (2018)
Sheng Zhang, Guang Lin
Robust data-driven discovery of governing physical laws with error bars. Proceedings. Mathematical, physical, and engineering sciences 474 (2217) (2018)