Linjiang Chen at The University of Birmingham - Research Interests, Publications & Academic Profile

Linjiang Chen

University of Birmingham

United Kingdom

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Research Interests

Materials Chemistry

80%

Organic Chemistry

80%

Computational Chemistry

70%

Zeolite Science

50%

Adsorption Science

40%

Materials Science

40%

Organic Compounds

30%

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Articles18

Effective Screening Descriptors of Metal–Organic Framework-Supported Single-Atom Catalysts for Electrochemical CO2 Reduction Reactions: A Computational Study

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Year:

2024

Sequential closed-loop Bayesian optimization as a guide for organic molecular metallophotocatalyst formulation discovery

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Year:

2024

Analysis and prediction in SCR experiments using GPT-4 with an effective chain-of-thought prompting strategy

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Year:

2024

Intuitive and Efficient Approach to Determine the Band Structure of Covalent Organic Frameworks from Their Chemical Constituents

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Year:

2024

Knowledge-Driven Experimental Discovery of Ce-Based Metal Oxide Composites for Selective Catalytic Reduction of NOx with NH3 through Interpretable Machine Learning

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Year:

2024

Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules

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Year:

2024

Screening potential dye sensitizers for water splitting photocatalysts using a genetic algorithm

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Year:

2024

Experimental Confirmation of a Predicted Porous Hydrogen‐Bonded Organic Framework

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Year:

2023

Experimental Confirmation of a Predicted Porous Hydrogen‐Bonded Organic Framework

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Year:

2023

Frontispiece: Experimental Confirmation of a Predicted Porous Hydrogen‐Bonded Organic Framework

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Year:

2023

Frontispiz: Experimental Confirmation of a Predicted Porous Hydrogen‐Bonded Organic Framework

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Year:

2023

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

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Year:

2023

Machine Learning Accelerated Exploration of Ternary Organic Heterojunction Photocatalysts for Sacrificial Hydrogen Evolution

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Year:

2023

How Reproducible are Surface Areas Calculated from the BET Equation?

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Year:

2022

Mapping the Porous and Chemical Structure−Function Relationships of Trace CH<sub>3</sub>I Capture by Metal−Organic Frameworks using Machine Learning

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Year:

2022

Photoinduced inverse vulcanization

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Year:

2022

Reconstructed covalent organic frameworks

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Year:

2022

Accelerating computational discovery of porous solids through improved navigation of energy-structure-function maps

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Year:

2021

Collaborators14

Graeme Day

Professor of Chemical Modelling

University of Southampton

UNITED KINGDOM

Marc A. Little

University of Liverpool

UNITED KINGDOM

Anna G. Slater

University of Liverpool

UNITED KINGDOM

John Ward

Lecturer

University of Liverpool

UNITED KINGDOM

Martin Schroder

The University of Manchester

UNITED KINGDOM

Xiaofeng Wu

University of Liverpool

UNITED KINGDOM

Jack D. Evans

AUSTRALIA

Haofan Yang

Northwestern University

UNITED STATES

Alessandro Troisi

Professor at Department of Chemistry

University of Liverpool

UNITED KINGDOM

Thomas Fellowes

University of Liverpool

UNITED KINGDOM

Reiner Sebastian Sprick

University Of Strathclyde

UNITED KINGDOM

Valeska Ting

University of Bristol

UNITED KINGDOM

Carmen Montoro

Universidad Autónoma de Madrid

SPAIN

Benoit Coasne

Université Grenoble Alpes

FRANCE

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