A5056296888- Metal-Organic Frameworks: Synthesis and Applications
- Advanced Photocatalysis Techniques
- Ammonia Synthesis and Nitrogen Reduction
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Catalytic Processes in Materials Science
- Advancements in Battery Materials
- CO2 Reduction Techniques and Catalysts
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
- Calcium Carbonate Crystallization and Inhibition
- Machine Learning in Materials Science
- Electrocatalysts for Energy Conversion
- Bone Tissue Engineering Materials
- Microfluidic and Capillary Electrophoresis Applications
- Covalent Organic Framework Applications
- Zeolite Catalysis and Synthesis
- Generative Adversarial Networks and Image Synthesis
- Crystallography and molecular interactions
- Advanced Thermoelectric Materials and Devices
- Organic Electronics and Photovoltaics
- Nanocluster Synthesis and Applications
- Graphene research and applications
- Advanced Image Processing Techniques
- Electrochemical Analysis and Applications
Nanjing University
2018-2025
Southern California University for Professional Studies
2024
University of Southern California
2024
China Academy of Safety Sciences and Technology
2024
University of Pennsylvania
2024
State Key Laboratory of Analytical Chemistry for Life Science
2022-2023
Collaborative Innovation Center of Advanced Microstructures
2021-2022
National Sun Yat-sen University
2017
Jiangsu University
2015
Abstract The newly emerged aqueous Zn–organic batteries are attracting extensive attention as a promising candidate for energy storage. However, most of them suffer from the unstable and/or soluble nature organic molecules, showing limited cycle life (≤3000 cycles) that is far away requirement (10 000 grid‐scale Here, new zinc battery proposed by using sulfur heterocyclic quinone dibenzo[b,i]thianthrene‐5,7,12,14‐tetraone (DTT) cathode. cell shows high reversible capacity 210.9 mAh g DTT −1...
Nitrate-containing industrial wastewater poses a serious threat to the global food security and public health safety. As compared traditional microbial denitrification, electrocatalytic nitrate reduction shows better sustainability with ultrahigh energy efficiency production of high-value ammonia (NH3 ). However, nitrate-containing from most processes, such as mining, metallurgy, petrochemical engineering, is generally acidic, which contradicts typical neutral/alkaline working conditions for...
The electrochemical nitrate reduction reaction (NITRR), which converts to ammonia, is promising for artificial ammonia synthesis at mild conditions. However, the lack of favorable electrocatalysts has hampered its large-scale applications. Herein, we report batch-scale three-dimensional (3D) porous Cu@Cu2O microspheres (Cu@Cu2O MSs) composed fine nanoparticles (NPs) using a convenient electric explosion method with outstanding activity and stability ammonia. Density functional theory (DFT)...
The rational design of efficient and stable catalysts for the oxygen reduction reaction evolution (ORR/OER) is key to improving Li-O2 battery performance. Here, we report construction ORR/OER bifunctional cathode in a covalent organic framework (COF) platform by simultaneously incorporating Ni-bis(dithiolene) Co-porphyrin units. resulting bimetallic Ni/Co-COF exhibits high surface area, fairly good electrical conductivity, excellent chemical stability. batteries with Ni/Co-COF-based show low...
Inspired by the exciting physical/chemical properties in metal-organic frameworks (MOFs) of redox-active tetrathiafulvalene (TTF) ligands, nickel bis(dithiolene-dibenzoic acid), [Ni(C2S2(C6H4COOH)2)2], has been designed and developed as an inorganic analogue corresponding TTF-type donors (such tetrathiafulvalene-tetrabenzoate, TTFTB), where a metal site (Ni) replaces central C═C bond. In this work, [Ni(C2S2(C6H4COOH)2)2] In3+ have successfully assembled into three-dimensional MOF,...
Various reactive intermediates and Cn products from carbon dioxide reduction reaction (CO2RR) play critical roles in the chemical fuel industry. Developing easily accessible activity descriptors to predict possible of CO2RR is great importance. The free energy changes (ΔG) for all intermediate product probability (P) CO2 methanol, methane, formaldehyde on 26 single-atom catalysts (SACs) zeolites were predicted by density functional theory (DFT) calculations machine learning (ML) models....
Ammonia production plays a central role in modern industry and agriculture with continuous surge its demand, yet the current industrial Haber-Bosch process suffers from low energy efficiency accounts for high carbon emissions. Direct electrochemical conversion of nitrate to ammonia therefore emerges as an appealing approach satisfactory sustainability while reducing environmental impact pollution. To this end, electrocatalysts efficient eight-electron require collective contributions at...
The electrocatalytic nitrate reduction reaction (NITRR) holds great promise for purifying wastewater and producing valuable ammonia (NH
Both metal center active sites and vacancies can influence the catalytic activity of a catalyst. A quantitative model to describe synergistic effect between centers is highly desired. Herein, we proposed machine learning evaluate index, PSyn, which learned from possible pathways for CH4 production CO2 reduction reaction (CO2RR) on 26 metal-anchored MoS2 with without sulfur vacancy. The data set consists 1556 intermediate structures MoS2, are used training. 2028 literature, comprising both...
The formation energy of gold nanoclusters could be predicted quickly by deep learning.
The applications of machine learning (ML) in complex interfacial interactions are hindered by the time-consuming process manual feature selection and model construction. An automated ML program was implemented with four subsequent steps: data distribution analysis, dimensionality reduction clustering, selection, optimization. Without need intervention, descriptors metal charge variance (ΔQCT) electronegativity substrate (χsub) (δχM) were raised up good performance predicting electrochemical...
Li has been regarded as the most attractive anode for next-generation high-energy-density batteries due to its high specific capacity and low electrochemical potential. However, potential leads side reaction of with solvent electrolyte (the solvation ions exacerbates reaction). This adverse results in uneven distribution deposition, Coulombic efficiency, formation dendrites. Herein, we demonstrate an efficient method achieving successive desolvation homogeneous by using a double-layer...
A Cu(<sc>i</sc>)/Cu(<sc>ii</sc>) MOF with a full light spectrum was synthesized, exhibiting photocatalytic CO<sub>2</sub>-to-CH<sub>4</sub> selectivity of 72.8% in aqueous solution.
The structural diversity and tunability of metal organic frameworks (MOFs) represent an ideal material platform for a variety practical scenarios ranging from gas storage/separation to catalysis, yet their application in chemiresistive sensing is relatively lacking, due the requirements combined electrical conductivity optimized adsorption properties. Here, we report effective chemical strategy based on missing-linker two-dimensional conductive MOF, with incorporated defects via simple...
Li–CO2 batteries have attracted worldwide attention because of their dual characteristics high energy density and effective CO2 capture. However, the basic electrochemistry mechanism involved has been unclear, which is mainly confused by complicated decomposition organic electrolytes. Herein, water-in-salt (WIS, LiTFSI/H2O 21.0 mol/1 kg) explored as a suitable electrolyte for first time to investigate reaction with different cathodes (carbon nanotube (CNT) Mo2C/CNT, respectively). An...
Enantiomers, chiral isomers with opposite chirality, typically demonstrate differences in their pharmacological activity, metabolism, and toxicity. However, direct discrimination between enantiomers is challenging due to similar physiochemical properties. Following the strategy of programmable nanoreactors for stochastic sensing (PNRSS), introduction phenylboronic acid (PBA) a Mycobacterium smegmatis porin A (MspA) assists identification norepinephrine epinephrine. Using machine learning...
Tailoring materials with prescribed properties and regular structures is a critical challenging research topic. Early transition metals were found to form supermagic M8C12 metallocarbohedrenes (Met-Cars); however, stable metal carbides are not limited this common stoichiometry. Utilizing self-developed deep-ultraviolet laser ionization mass spectrometry, here, we report strategy generate new titanium by reacting pure Tin clusters acetylene. Interestingly, two products corresponding Ti17C2...
A practical and efficient Lewis acid-catalyzed radical–radical coupling reaction of N-hydroxyphthalimide esters 4-cyanopyridines with inexpensive bis(pinacolato)diboron as reductant has been developed. With ZnCl2 the catalyst, a wide range quaternary 4-substituted pyridines, including highly congested diarylmethyl triarylmethyl substituents, could be selectively obtained in moderate to good yields broad functional group tolerance. Combined theoretical calculations experimental studies...
Abstract Chemical reactions of single molecules, caused by rapid formation or breaking chemical bonds, are difficult to observe even with state-of-the-art instruments. A biological nanopore can be engineered into a molecule reactor, capable detecting the binding monatomic ion transient appearance intermediates. Pore engineering this type is however technically challenging, which has significantly restricted further development technique. We propose versatile strategy, “programmable...
The synergistic effect between metal coordination and HB interactions could realize nitrogen fixation in metal-zeolites, which was studied by deep learning feature learning.
Two-dimensional (2D) bismuthene is predicted to possess intriguing physical properties, but its preparation remains challenging due the high surface energy constraint. Herein, we report a sandwiched epitaxy growth strategy for controllable of 2D between Cu foil substrate and h-BN covering layer. The top layer plays crucial role in suppressing structural transformation compensating charge transfer from Cu(111) surface. nanoflakes present superior thermal stability up 500 °C air, attributed...