Linjiang Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Molecular Dynamics Simulations

Machine Learning

Top Venues

Physical chemistry chemical physics : PCCP

Nature chemistry

Chemical science

Journal of chemical theory and computation

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

Publications

Xiaobo Li, Yu Che, Linjiang Chen, Tao Liu, Kewei Wang, Lunjie Liu, Haofan Yang, Edward O Pyzer-Knapp, Andrew I Cooper
Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery. Nature chemistry (2024)
Xiaobo Li, Yu Che, Linjiang Chen, Tao Liu, Kewei Wang, Lunjie Liu, Haofan Yang, Edward O Pyzer-Knapp, Andrew I Cooper
Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery. Nature chemistry 16 (8) (2024)
Chang-Chun Ding, Xiaoyu Xie, Linjiang Chen, Alessandro Troisi
Intuitive and Efficient Approach to Determine the Band Structure of Covalent Organic Frameworks from Their Chemical Constituents. Journal of chemical theory and computation 20 (3) (2024)
Chang-Chun Ding, Xiaoyu Xie, Linjiang Chen, Alessandro Troisi
Intuitive and Efficient Approach to Determine the Band Structure of Covalent Organic Frameworks from Their Chemical Constituents. Journal of chemical theory and computation (2024)
Chang-Chun Ding, Xiaoyu Xie, Linjiang Chen, Alessandro Troisi
Intuitive and Efficient Approach to Determine the Band Structure of Covalent Organic Frameworks from Their Chemical Constituents. Journal of chemical theory and computation 20 (3) (2024)
Muyu Lu, Fengyu Gao, Yiran Tan, Honghong Yi, Yang Gui, Yan Xu, Ya Wang, Yuansong Zhou, Xiaolong Tang, Linjiang Chen
Knowledge-Driven Experimental Discovery of Ce-Based Metal Oxide Composites for Selective Catalytic Reduction of NO x with NH 3 through Interpretable Machine Learning. ACS applied materials & interfaces (2024)
Chang-Chun Ding, Xiaoyu Xie, Linjiang Chen, Alessandro Troisi
Intuitive and Efficient Approach to Determine the Band Structure of Covalent Organic Frameworks from Their Chemical Constituents. Journal of chemical theory and computation 20 (3) (2024)
Muyu Lu, Fengyu Gao, Yiran Tan, Honghong Yi, Yang Gui, Yan Xu, Ya Wang, Yuansong Zhou, Xiaolong Tang, Linjiang Chen
Knowledge-Driven Experimental Discovery of Ce-Based Metal Oxide Composites for Selective Catalytic Reduction of NO x with NH 3 through Interpretable Machine Learning. ACS applied materials & interfaces 16 (3) (2024)
Xiaobo Li, Yu Che, Linjiang Chen, Tao Liu, Kewei Wang, Lunjie Liu, Haofan Yang, Edward O Pyzer-Knapp, Andrew I Cooper
Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery. Nature chemistry 16 (8) (2024)
Tao Liu, Linjiang Chen, Xiaoyan Wang, Andrew I Cooper
Screening potential dye sensitizers for water splitting photocatalysts using a genetic algorithm. Physical chemistry chemical physics : PCCP (2024)
Xiaobo Li, Yu Che, Linjiang Chen, Tao Liu, Kewei Wang, Lunjie Liu, Haofan Yang, Edward O Pyzer-Knapp, Andrew I Cooper
Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery. Nature chemistry 16 (8) (2024)
Tao Liu, Linjiang Chen, Xiaoyan Wang, Andrew I Cooper
Screening potential dye sensitizers for water splitting photocatalysts using a genetic algorithm. Physical chemistry chemical physics : PCCP 26 (23) (2024)
Tao Liu, Linjiang Chen, Xiaobo Li, Andrew I Cooper
Investigating the factors that influence sacrificial hydrogen evolution activity for three structurally-related molecular photocatalysts: thermodynamic driving force, excited-state dynamics, and surface interaction with cocatalysts. Physical chemistry chemical physics : PCCP (2023)
Zikai Xie, Xenophon Evangelopoulos, Ömer H Omar, Alessandro Troisi, Andrew I Cooper, Linjiang Chen
Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules. Chemical science 15 (2) (2023)
Tao Liu, Linjiang Chen, Xiaobo Li, Andrew I Cooper
Investigating the factors that influence sacrificial hydrogen evolution activity for three structurally-related molecular photocatalysts: thermodynamic driving force, excited-state dynamics, and surface interaction with cocatalysts. Physical chemistry chemical physics : PCCP 25 (4) (2023)
Zikai Xie, Xenophon Evangelopoulos, Ömer H Omar, Alessandro Troisi, Andrew I Cooper, Linjiang Chen
Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules. Chemical science 15 (2) (2023)
Tao Liu, Linjiang Chen, Xiaobo Li, Andrew I Cooper
Investigating the factors that influence sacrificial hydrogen evolution activity for three structurally-related molecular photocatalysts: thermodynamic driving force, excited-state dynamics, and surface interaction with cocatalysts. Physical chemistry chemical physics : PCCP 25 (4) (2023)
Haofan Yang, Yu Che, Andrew I Cooper, Linjiang Chen, Xiaobo Li
Machine Learning Accelerated Exploration of Ternary Organic Heterojunction Photocatalysts for Sacrificial Hydrogen Evolution. Journal of the American Chemical Society (2023)
Xiaobo Li, Phillip M Maffettone, Yu Che, Tao Liu, Linjiang Chen, Andrew I Cooper
Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules. Chemical science 12 (32) (2021)
Chengxi Zhao, Linjiang Chen, Yu Che, Zhongfu Pang, Xiaofeng Wu, Yunxiang Lu, Honglai Liu, Graeme M Day, Andrew I Cooper
Digital navigation of energy-structure-function maps for hydrogen-bonded porous molecular crystals. Nature communications 12 (1) (2021)
Edward O Pyzer-Knapp, Linjiang Chen, Graeme M Day, Andrew I Cooper
Accelerating computational discovery of porous solids through improved navigation of energy-structure-function maps. Science advances 7 (33) (2021)
Ming Liu, Linda Zhang, Marc A Little, Venkat Kapil, Michele Ceriotti, Siyuan Yang, Lifeng Ding, Daniel L Holden, Rafael Balderas-Xicohtencatl, Donglin He, Rob Clowes, Samantha Yu-Ling Chong, Gisela Schütz, Linjiang Chen, Michael Hirscher, Andrew I Cooper
Barely porous organic cages for hydrogen isotope separation. Science (New York, N.Y.) 366 (6465) (2020)
Chengxi Zhao, Yunxiang Lu, Honglai Liu, Linjiang Chen
First-principles computational investigation of nitrogen-doped carbon nanotubes as anode materials for lithium-ion and potassium-ion batteries. RSC advances 9 (30) (2019)
Zhiwei Fu, Xiaoyan Wang, Adrian M Gardner, Xue Wang, Samantha Yu-Ling Chong, Gaia Neri, Alexander J Cowan, Lunjie Liu, Xiaobo Li, Anastasia Vogel, Rob Clowes, Matthew Bilton, Linjiang Chen, Reiner Sebastian Sprick, Andrew I Cooper
A stable covalent organic framework for photocatalytic carbon dioxide reduction. Chemical science 11 (2) (2019)