Area of research
Inorganic Chemistry · Materials Chemistry
Research interest
Research interests include Chemistry, Membrane, Materials science, Metal-organic framework, Zeolitic imidazolate framework, and Chemical engineering.
Metal-halide porous framework superlattices
A Systematic Approach for Incorporating Structural Flexibility in High-Throughput Computational Screening of Metal–Organic Frameworks for Xylene Separation
Discovering Ultra-Stable Metal–Organic Frameworks for CO<sub>2</sub> Capture from A Wet Flue Gas: Integrating Machine Learning and Molecular Simulation
Unraveling Guest-Induced Structural Transition in a Flexible Metal–Organic Framework for C<sub>4</sub> Alkane/Alkene Separation
Discovering robust metal-organic frameworks with open copper sites for precombustion CO2 capture: Data-efficient exploration and exploitation by active learning
Sub-nanometer resolution for anion conduction in a covalent-organic framework membrane: A hierarchical approach
Swelling and organic solvent nanofiltration in polyimides of intrinsic microporosity membranes: Molecular simulation investigation
Chiral Covalent Organic Cages: Structural Isomerism and Enantioselective Catalysis
Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane‐Based Gas Separation: Synergizing Physics‐Informed Performance Metrics and Active Learning
Accelerating Discovery of Water Stable Metal−Organic Frameworks by Machine Learning
Competition between CH<sub>4</sub> hydrate formation and phase separation in a wetted metal–organic framework MIL-101 at moderate subcooling: molecular insights into CH<sub>4</sub> storage
Toward a Generalizable Machine-Learned Potential for Metal–Organic Frameworks
Direct contact TSA cycle based on a hydrophobic MOF sorbent for post-combustion CO2 capture from wet flue gas
Molecular design of polyimides of intrinsic microporosity for biofuel purification
Manipulation of Cationic Group Density in Covalent Organic Framework Membranes for Efficient Anion Transport
Synergizing machine learning, molecular simulation and experiment to develop polymer membranes for solvent recovery
Integrating stability metrics with high-throughput computational screening of metal–organic frameworks for CO2 capture
Metal–Organic Frameworks for Water Harvesting: Machine Learning-Based Prediction and Rapid Screening
Machine Learning-Assisted Design of Thin-Film Composite Membranes for Solvent Recovery
Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective
A review of mechanistic insights into CO2 reduction to higher alcohols for rational catalyst design
Bioinspired humic acid-based membranes for water desalination: Mechanistic insights from molecular simulations
Growing single crystals of two-dimensional covalent organic frameworks enabled by intermediate tracing study
Free-standing homochiral 2D monolayers by exfoliation of molecular crystals
Fast water transport and molecular sieving through ultrathin ordered conjugated-polymer-framework membranes
Enhanced Biological Imaging via Aggregation-Induced Emission Active Porous Organic Cages
Machine Learning-Enabled Prediction and High-Throughput Screening of Polymer Membranes for Pervaporation Separation
Molecular design of covalent−organic framework membranes for Li+/Mg2+ separation: Significant charge effect
Highly porous nanofiber-supported monolayer graphene membranes for ultrafast organic solvent nanofiltration
Highly Selective CO<sub>2</sub> Conversion to Methanol in a Bifunctional Zeolite Catalytic Membrane Reactor