A5077532589- Pickering emulsions and particle stabilization
- Surfactants and Colloidal Systems
- Radioactive element chemistry and processing
- Electrostatics and Colloid Interactions
- Chemical Synthesis and Characterization
- Nanopore and Nanochannel Transport Studies
- Covalent Organic Framework Applications
- Advanced Battery Technologies Research
- Nanofluid Flow and Heat Transfer
- Extraction and Separation Processes
- Polymer Surface Interaction Studies
- Genomics and Chromatin Dynamics
- Advancements in Battery Materials
- RNA Research and Splicing
- Electrocatalysts for Energy Conversion
- Enhanced Oil Recovery Techniques
- Advanced Battery Materials and Technologies
- Advanced Polymer Synthesis and Characterization
- Heat Transfer and Optimization
- Electrochemical Analysis and Applications
- Innovative Microfluidic and Catalytic Techniques Innovation
- Hydrogels: synthesis, properties, applications
- Layered Double Hydroxides Synthesis and Applications
- Minerals Flotation and Separation Techniques
- Proteins in Food Systems
Shenzhen Bay Laboratory
2022-2025
Hebei University of Technology
2024
Mianyang Normal University
2023
Northwestern University
2021-2022
Hunan University
2021-2022
Guilin University of Electronic Technology
2022
University of Wisconsin–Madison
2021
Binghamton University
2016-2019
State University of New York
2017-2019
Institute for Materials Research, Tohoku University
2018
Abstract The lithium–sulfur battery is an attractive option for next‐generation energy storage owing to its much higher theoretical density than state‐of‐the‐art lithium‐ion batteries. However, the massive volume changes of sulfur cathode and uncontrollable deposition Li 2 S /Li significantly deteriorate cycling life increase voltage polarization. To address these challenges, we develop ϵ‐caprolactam/acetamide based eutectic‐solvent electrolyte, which can dissolve all lithium polysulfides...
Electrocatalytic dehalogenation (EDH) is a promising green technology for the breakage of strong carbon-chlorine (C-Cl) bonds that have fundamental importance in organic chemistry and environmental remediation. The lack understanding practical issues such as potential secondary pollution, side reactions (e.g., hydrogen-evolution reaction), deficiency catalytic activity, and/or stability limited adoption EDH technology. Here, we address these problems by designing palladium-based nanocatalyst...
Amphiphilic Janus particles demonstrate unique assembly structures when dried on a hydrophilic substrate. Particle orientations are influenced by amphiphilicity and balance. A three-stage model is developed to describe the process. Simulation further indicates dominant force capillary attraction due interface pinning at rough boundaries.
Molecular organizations and charge patterns inside biological nanopores are optimized by evolution to enhance ionic molecular transport. Inspired the nuclear pore complex that employs asymmetrically arranged disordered proteins for its gating, we here design an artificial nanopore coated asymmetric polyampholyte brush as a model system study mass transport under nanoconfinement. A nonequilibrium steady-state theory is developed account intricate regulation effect of weak address coupling...
The adsorption of weak polyelectrolytes and polyelectrolyte-grafted nanoparticles at a water–oil interface can be tuned by changing the pH salinity solution.
The interaction and stability of emulsion droplets can be actively manipulated by using polyelectrolyte-grafted nanoparticles as stabilizers.
Abstract The lithium–sulfur battery is an attractive option for next‐generation energy storage owing to its much higher theoretical density than state‐of‐the‐art lithium‐ion batteries. However, the massive volume changes of sulfur cathode and uncontrollable deposition Li 2 S /Li significantly deteriorate cycling life increase voltage polarization. To address these challenges, we develop ϵ‐caprolactam/acetamide based eutectic‐solvent electrolyte, which can dissolve all lithium polysulfides...
Surfactants are amphiphilic molecules that widely used in consumer products, industrial processes, and biological applications. A critical property of a surfactant is the micelle concentration (CMC), which at undergo cooperative self-assembly solution. Notably, primary method to obtain CMCs experimentally—tensiometry—is laborious expensive. In this work, we show graph convolutional neural networks (GCNs) can predict directly from molecular structure. Specifically, developed GCN architecture...
Stimuli-responsive nanoparticles at fluid interfaces offer great potential for realizing on-demand and controllable self-assembly that can benefit various applications. Here, we conducted electrostatic dissipative particle dynamics simulations to provide a fundamental understanding of the microstructure interfacial responsive nanoparticle monolayers water–oil interface. The model is functionalized with polyelectrolytes render pH sensitivity, which permits further manipulation monolayer...
Artificial nanopores functionalized with weak polyelectrolytes are an interesting and important class of stimuli-responsive nanofluidic devices. So far, the effects dielectric properties supporting nanopore surface on behavior largely unexplored. Here, we theoretically investigate influence that mismatch between solvent has charge regulation polyelectrolyte brushes inside nanopore. Our approach is based a molecular theory explicitly incorporates coupling organization, physical interactions,...
Herein, magnetic layered double oxides coated with carbon dots (MLCs) were synthesized through introducing sodium dodecylbenzene sulfonate and FeCl2 into Co/Al LDH for capturing uranium from aqueous solution. When the molar ratio of Co to Al was 4 : 1, MLC composite possessed strongest affinity uranium(VI) in solution short equilibrium time (<160 min), high adsorption efficiency (94.31%) large removal capacity (513.85 mg g-1). The behavior MLCs well fitted Langmuir pseudo-second-order...
Abstract Understanding the molecular residence autocorrelation function in liquid is of fundamental importance physical and life science. Encoded this not only binding properties, but also information environment. Based on extensive silico experiments theoretical analysis, we reveal that power law scaling arises both passive active liquid, contrast to common sense exponential decay. In simple homogeneous exponent depends solely system dimensionality. Such robust against superposition diverse...
Understanding the binding dynamics of liquid molecules is fundamental importance in physical and life sciences. However, nanoscale fast pose great challenges for experimental characterization. Conventionally, have been assumed to be memoryless. Here, we integrate large scale computer simulation, scaling theory, real-time single particle tracking microscopy with high spatiotemporal precision unveil a universal memory effect molecules. This can quantified by time autocorrelation function,...
We discuss basic concepts of convolutional neural networks (CNNs) and outline uses in manufacturing. begin by discussing how different types data objects commonly encountered manufacturing (e.g., time series, images, micrographs, videos, spectra, molecular structures) can be represented a flexible manner using tensors graphs. then CNNs use convolution operations to extract informative features geometric patterns textures) from the such representations predict emergent properties phenomena...
Electrocatalytic dehalogenation (EDH) is a promising green technology for the reductive breakage of strong carbon-chlorine (C-Cl) bonds that have fundamental importance in organic chemistry and environmental remediation. The lack understanding practical issues such as potential secondary pollution, side reactions (e.g., hydrogen evolution reaction), deficiency catalyst’s activity stability limited adoption EDH technology. Here, we address these problems by designing Pd-based nanocatalyst...