- Metal-Organic Frameworks: Synthesis and Applications
- Covalent Organic Framework Applications
- Membrane Separation and Gas Transport
- X-ray Diffraction in Crystallography
- Boron and Carbon Nanomaterials Research
- Advanced Photocatalysis Techniques
- Inorganic Fluorides and Related Compounds
- Machine Learning in Materials Science
- Enhanced Oil Recovery Techniques
- Advanced battery technologies research
- Adsorption and biosorption for pollutant removal
- Phytochemicals and Antioxidant Activities
- Carbon dioxide utilization in catalysis
- Nanomaterials for catalytic reactions
- Synthesis of Organic Compounds
- Advanced Battery Materials and Technologies
- Free Radicals and Antioxidants
- Zeolite Catalysis and Synthesis
- Hydrogen Storage and Materials
Jinan University
2022-2024
Shaanxi Normal University
2019-2024
Machine learning is gaining momentum in the prediction and discovery of materials for specific applications. Given abundance metal–organic frameworks (MOFs), computational screening existing MOFs propane/propylene (C3H8/C3H6) separation could be equally important developing new MOFs. Herein, we report a machine learning-assisted strategy C3H8-selective from CoRE MOF database. Among four algorithms applied learning, random forest (RF) algorithm displays highest degree accuracy. We...
C 2 H /CO separation is a challenging industrial process. We report microporous MOF (JNU-4a) with square-planar mononuclear copper( ii ) centers, allowing for record high capture capacity from an equimolar mixture.
A linker methylation strategy to tune the pore size and surface electrostatic potential, rendering JNU-6-CH 3 capable of directly separating high-purity C 2 H 4 from 6 /C mixtures with benchmark separation capacity under dry or humid conditions.
Metal-organic frameworks (MOFs) that exhibit dynamic phase-transition behavior under external stimuli could have great potential in adsorptive separations. Here we report on a zinc-based microporous MOF (JNU-80) and its reversible transformation between two crystalline phases: large pore (JNU-80-LP) narrow (JNU-80-NP). Specifically, JNU-80-LP can undergo dehydration-induced cluster consolidation heat treatment, resulting JNU-80-NP with reduced channel allows exclusion of di-branched hexane...
Adsorptive separation using C2H6‐selective adsorbents can produce high‐purity C2H4 directly, making it an energy‐efficient method with the potential to replace cryogenic distillation. While many MOFs have been reported, developing both large C2H6 adsorption capacity and high C2H6/C2H4 selectivity remains challenging. Herein, we present a machine learning‐assisted molecular simulation strategy explore capability of pcu‐MOFs isoreticular MOF‐5. The eXtreme Gradient Boosting (XGBoost) algorithm...
Adsorptive separation using C2H6‐selective adsorbents can produce high‐purity C2H4 directly, making it an energy‐efficient method with the potential to replace cryogenic distillation. While many MOFs have been reported, developing both large C2H6 adsorption capacity and high C2H6/C2H4 selectivity remains challenging. Herein, we present a machine learning‐assisted molecular simulation strategy explore capability of pcu‐MOFs isoreticular MOF‐5. The eXtreme Gradient Boosting (XGBoost) algorithm...
Metallosalen-based Ni 8 -pyrazolate metal–organic frameworks were prepared, and they exhibited exceptional chemical stability high efficiency in the removal of methylene blue (MB) from water.
The efficient separation of C2H2/CO2 is challenging and energy intensive due to their similar molecular shapes kinetic diameters. Here we report an ato-topology metal-organic framework (JNU-7a) with a specific surface area 2046 cm2 g-1 open-metal-site density 2.05 mmol cm-3, resulting in large C2H2 adsorption capacity (176 cm3 g-1) high selectivity (6.2).
Abstract Metal‐organic frameworks (MOFs) that exhibit dynamic phase‐transition behavior under external stimuli could have great potential in adsorptive separations. Here we report on a zinc‐based microporous MOF (JNU‐80) and its reversible transformation between two crystalline phases: large pore (JNU‐80‐LP) narrow (JNU‐80‐NP). Specifically, JNU‐80‐LP can undergo dehydration‐induced cluster consolidation heat treatment, resulting JNU‐80‐NP with reduced channel allows exclusion of di‐branched...
The Maillard reaction involves the interaction of various amino acids and reducing sugars, resulting in food browning. It often produces appealing aromas flavors. complexities are such that it can be challenging to identify numerous frequently volatile products formed by it. In present study, we sought evaluate an unusual product with anti-oxidant activity arising from a fructose-histidine model. profile this was assessed computational means.