Jianwen JIANG Group
@Jiang_Group_NUS
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Department of Chemical and Biomolecular Engineering, National University of Singapore
Singapore
Joined April 2017
Can we predict the possible collapse of MOFs during activation? The answer is yes. | Nano Letters
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Precision-engineered metal–organic frameworks: fine-tuning reverse topological structure prediction and design - now published in Chemical Science
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Exploiting Metal–Organic Frameworks for Vinylidene Fluoride Adsorption: From Force Field Development, Computational Screening to Machine Learning | Environmental Science & Technology
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Accelerating Discovery of Water Stable Metal−Organic Frameworks by Machine Learning
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Metal–Organic Frameworks for Water Harvesting: Machine Learning-Based Prediction and Rapid Screening
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Multisite Porphyrinic Metal–Organic Frameworks for Biomass Valorization: Computational Design and Mechanistic Investigation
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Synergizing machine learning, molecular simulation and experiment to d.
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Designing Nanofluidic Diode from a Hybrid‐Bilayer Covalent Organic Framework: Molecular Simulation Investigation
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Rational Design of Metal-Alkoxide-Functionalized Metal–Organic Frameworks for Synergistic Dual Activation of CH4 and CO2 toward Acetic Acid Synthesis
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Molecular design of covalent−organic framework membranes for Li /Mg2 .
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Active learning boosted computational discovery of covalent–organic frameworks for ultrahigh CH4 storage
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RT @jayshenng025: Our amazing teamwork is out @NatureMaterials! Molecularly engineered conjugated-polymer-framework membrane. Thanks to my….
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Highly efficient CO2 conversion on a robust metal-organic framework Cu.
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Research fellow positions available in molecular simulation and/or machine learning of MOFs and polymer membranes:
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Microscopic insight into anion conduction in covalent−organic framewor.
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Accelerating Discovery of High Fractional Free Volume Polymers from a Data-Driven Approach
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Recent development in machine learning of polymer membranes for liquid separation - now published in Molecular Systems Design & Engineering
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Metallated porphyrinic metal−organic frameworks for CO2 conversion to .
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Machine Learning-Enabled Prediction and High-Throughput Screening of Polymer Membranes for Pervaporation Separation
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