- Advanced Electron Microscopy Techniques and Applications
- Electron and X-Ray Spectroscopy Techniques
- Polymer Surface Interaction Studies
- Pickering emulsions and particle stabilization
- Quantum Dots Synthesis And Properties
- Force Microscopy Techniques and Applications
- Spectroscopy and Quantum Chemical Studies
- Machine Learning in Materials Science
- Micro and Nano Robotics
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Electrochemical Analysis and Applications
- Surfactants and Colloidal Systems
- Proteins in Food Systems
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced Cellulose Research Studies
- Dyeing and Modifying Textile Fibers
- Microfluidic and Bio-sensing Technologies
- Advanced Materials and Mechanics
- Advancements in Battery Materials
- Metamaterials and Metasurfaces Applications
- Characterization and Applications of Magnetic Nanoparticles
- Membrane Separation Technologies
- Nanopore and Nanochannel Transport Studies
- Block Copolymer Self-Assembly
University of Illinois Urbana-Champaign
2019-2024
Materials Science & Engineering
2022
Soochow University
2018
Liquid-phase transmission electron microscopy (TEM) has been recently applied to materials chemistry gain fundamental understanding of various reaction and phase transition dynamics at nanometer resolution. However, quantitative extraction physical chemical parameters from the liquid-phase TEM videos remains bottlenecked by lack automated analysis methods compatible with videos' high noisiness spatial heterogeneity. Here, we integrate, for first time, imaging our customized framework based...
Biological morphogenesis has inspired many efficient strategies to diversify material structure and functionality using a fixed set of components. However, implementation concepts design soft nanomaterials is underexplored. Here, we study nanomorphogenesis in the form three-dimensional (3D) crumpling polyamide membranes used for commercial molecular separation, through an unprecedented integration electron tomography, reaction-diffusion theory, machine learning (ML), liquid-phase atomic...
We apply the concept of "island formation" established for planar substrates, where ligands laterally cluster as they adsorb, to preparing nanoparticles (NPs) with precisely sized surface patches. Using gold triangular nanoprisms and 2-naphthalenethiols (2-NAT) a prototypical system, we show that preferential adsorption 2-NAT on prism tips leads formation tip The patches are rendered visible direct transmission electron microscopy atomic force imaging upon attaching...
An emergent theme in mono- and multivalent ion batteries is to utilize nanoparticles (NPs) as electrode materials based on the phenomenological observations that their short diffusion length large electrode-electrolyte interface can lead improved insertion kinetics compared bulk counterparts. However, understanding of how NP size fundamentally relates electrochemical behaviors (e.g., charge storage mechanism, phase transition associated with insertion) still primitive. Here, we employ spinel...
Synthesizing patchy particles with predictive control over patch size, shape, placement and number has been highly sought-after for nanoparticle assembly research, but is fraught challenges. Here we show that polymers can be designed to selectively adsorb onto surfaces already partially coated by other chains drive the formation of nanoparticles broken symmetry. In our model system triangular gold polystyrene-b-polyacrylic acid patch, single- double-patch are produced at high yield. These...
Abstract Voids—the nothingness—broadly exist within nanomaterials and impact properties ranging from catalysis to mechanical response. However, understanding nanovoids is challenging due lack of imaging methods with the needed penetration depth spatial resolution. Here, we integrate electron tomography, morphometry, graph theory coarse-grained molecular dynamics simulation study formation interconnected in polymer films their impacts on permeance nanomechanical behaviour. Using polyamide...
ConspectusOne emergent theme in "soft matter" is to understand and manipulate the self-organization of synthetic materials biological entities space time at underexplored nanoscale. Encoded this length scale can be a diversity spatiotemporally fluctuating dynamics that are critical function, from phase transition nanoparticle self-assemblies as reconfigurable devices morphology development polymer membranes separation layers for wastewater reclamation transformation membrane proteins...
Polymer patching on inorganic nanoparticles (NPs) enables multifunctionality and directed self-assembly into nonclosely packed optical mechanical metamaterials. However, experimental demonstration of such assemblies has been scant due to challenges in leveraging patch-induced NP–NP attractions understanding NP dynamics. Here we use low-dose liquid-phase transmission electron microscopy visualize the dynamic behaviors tip-patched triangular nanoprisms upon patch-clasping, where polymer...
Abstract Development of the surface morphology and shape crystalline nanostructures governs functionality various materials, ranging from phonon transport to biocompatibility. However, kinetic pathways, following which such development occurs, have been largely unexplored due lack real-space imaging at single particle resolution. Here, we use colloidal nanoparticles assembling into supracrystals as a model system, pinpoint key role fluctuation in shaping supracrystals. Utilizing liquid-phase...
Shape fingerprint functions and unsupervised machine learning are used to classify analyze nanomaterial morphologies from 2D 3D TEM data.
Recent advances in chemical synthesis have created new methodologies for synthesizing sequence-controlled synthetic polymers, but rational design of monomer sequence desired properties remains challenging. In this work, we synthesize periodic polymers with repetitive segments using a ring-opening metathesis polymerization (ROMP) method, which draws inspiration from proteins containing motifs. The segment architecture is shown to dramatically affect the self-assembly behavior these materials....
Insects known as leafhoppers (Hemiptera: Cicadellidae) produce hierarchically structured nanoparticles brochosomes that are exuded and applied to the insect cuticle, thereby providing camouflage anti-wetting properties aid survival. Although physical of thought depend on leafhopper species, structure-function relationships governing brochosome behavior not fully understood. Brochosomes have complex hierarchical structures morphological heterogeneity across due which a multimodal...
Abstract Complex natural and synthetic materials, such as subcellular organelles, device architectures in integrated circuits, alloys with microstructural domains, require characterization methods that can investigate the morphology physical properties of these materials three dimensions (3D). Electron tomography has unparalleled (sub-)nm resolution imaging 3D a material, critical for charting relationship among synthesis, morphology, performance. However, electron long suffered from an...
Ultrasmall nanomotors (<100 nm) are highly desirable nanomachines for their size-specific advantages over larger counterparts in applications spanning nanomedicine, directed assembly, active sensing, and environmental remediation. While there extensive studies on motors than 100 nm, the design understanding of ultrasmall have been scant due to lack high-resolution imaging propelled motions with orientation shape details resolved. Here, we report catalytically powered nanomotors─hundreds...
A thorough understanding of the structural heterogeneity in CsPbBr3 quantum dot superlattices (SLs) is necessary for realization exciton coherence these systems. Scanning transmission electron microscopy (STEM) coupled to fast-Fourier transform (FFT) analysis utilized characterize properties individual SLs. For each SL, average constituent size, size dispersity, and number crystalline domains are quantified. Analysis 40 SLs across eight growth experiments reveals that structurally...
Topologically-engineered mechanical frames are important model constructs for architecture, machine mechanisms, and metamaterials. Despite significant advances in macroscopically fashioned frames, realization phonon imaging of nanoframes have remained challenging. Here we extend the first time principles topologically-engineered to lattices self-assembled from nanoparticles. Liquid-phase transmission electron microscopy images vibrations nanoparticles Maxwell hexagonal at nanometer...
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Journal Article Machine Learning Based Tracking of Single Nanoparticle Vibrations from a Projected 3D Moiré Lattice Get access Chang Liu, Liu Department Materials Science and Engineering, University Illinois at Urbana-Champaign, Urbana, IL, United States Search for other works by this author on: Oxford Academic Google Scholar Lehan Yao, Yao Qian Chen Microscopy Microanalysis, Volume 28, Issue S1, 1 August 2022, Pages 94–95, https://doi.org/10.1017/S1431927622001283 Published: 01 2022