Browsing Chemical engineering by Title
Now showing items 186-205 of 256
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Quantifying single oil-particle interactions in aqueous media
(2001)Detailed knowledge about the single-pair interactions between a rigid micro-particle and a liquid drop or air bubble immersed in some fluid is one way to predict and/or design the ensemble behavior of mixed colloidal ... -
Rational Design of Protein-loaded Polymeric nanoparticles: A Computational and Experimental Approach
Enzymes are a class of macromolecules that can catalyze a wide range of chemical reactions. Enzymes are critical in the function of complex biological processes and more recently, industrial processes that result in ... -
Remote Control Electrodeposition: Patterning on Substrates without Direct Electrical Connections
Bipolar electrochemistry can overcome a key limitation in traditional electrochemistry, the need to electrically connect to the substrate. Wiring to a substrate is especially difficult for micro/nano-manufactured systems ... -
Review of Capacity Fade Models for Lithium-ion Batteries -- Effect of Mechanisms on Numerical Implementation
Lithium-ion battery applications, such as EVs and PHEVs, require long battery life. However, capacity fade always occurs due to unwanted side reactions including electrolyte oxidation at the positive electrode, lithium ... -
Rheology and Interparticle Interaction Studies in Complex Media
(2013-04-17)Dense colloidal dispersions are rheologically complex and exhibit properties like yield stress, creep, and elasticity due to aggregation and other interparticle interactions. The overall rheological performance of the ... -
Selective labeling of single-walled carbon nanotubes using solid binding proteins
Robust and simple strategies to noncovalently functionalize single walled carbon nanotubes (SWNT) are of considerable interest for building hybrid nanomaterials and biosensors. Here, we show that fusion of the Car9 and ... -
Self-Assembly of Nanoparticle Surfactants
Self-assembly utilizes non-covalent forces to organize smaller building blocks into larger, organized structures. Nanoparticles are one type of building block and have gained interest recently due to their unique optical ... -
Self-Assembly of Nanoparticles in Dispersion and at Fluid-Fluid Interfaces
(2013-02-25)Self-assembly is a fundamental mechanism by which structures form in materials. This mechanism has given rise to many new technological advances in applications as diverse as structural composites, medicine, alternative ... -
Signal Peptide and Chaperone Engineering for Secretion and Excretion in Escherichia coli
Secretory proteins play critical role in cell survival and pathogenicity and make up approximately 30% of all polypeptides synthesized by gram-negative bacteria. They may be found in a soluble form in the periplasm (the ... -
Simulating Protein Adsorption for Experimental Comparison
Many biological processes and technological applications involve proteins coming into contact with a solid surface. Generally, we know that proteins experience some degree of conformational change at the solid/liquid ... -
Simulation engineering of polymeric prepreg composite systems
(1997)High performance prepreg systems used in the airplane industry are proprietary and as a result, issues or problems concerning prepreg handling and composite performance have not been understood by the prepreg user and ... -
Simulation Informed Machine Learning Interpretation of Electrochemical Measurements
This work resides at the intersection of rigorous physics-based simulation and machine learning. We seek to address problems that have complicated multiphysics and exist in vast parameter spaces. Where the data requirement ... -
Simulations of Steady Streaming Flows and the Time-Averaged Motion of Inertial Particles
(2014-02-24)Applications of microfluidic systems often involve microparticle or cell trapping. Hydrodynamic tweezers are an emerging technology that utilizes an oscillating primary flow to induce microscale steady streaming eddy flows ... -
Simultaneous Prediction of Density, Viscosity and Heat Capacity of Ionic Liquids- A Deep Learning Approach
Estimation of properties of ionic liquids with artificial neural networks have been successful in overcoming the challenges posed by experimental predictions and equation of state models. With the advent of deep learning ... -
Skeletonization and fractal analysis of microglial cells in neonatal brain
Microglial cells can assume a range of morphologies that exist on a continuum, spanning from ramified, to bushy, to an amoeboid phenotype. Studies show that the morphology of microglial cells can be correlated with severity ... -
Solid Binding Peptides: Applications in Affinity Protein Purification and Bioprotonic Devices
Solid binding peptides (SBPs) are short sequences of amino acids that can be fused to proteins to endow them with the ability to bind to inorganic or synthetic interfaces without affecting structure or function. Here, we ... -
Solid-binding Proteins for Modification of Inorganic Substrates
Robust and simple strategies to directly functionalize graphene- and diamond-based nanostructures with proteins are of considerable interest for biologically driven manufacturing, biosensing and bioimaging. In this work, ... -
Solution-processed Visible-blind UV-A Photodetectors Based on CH3NH3PbCl3 Perovskite Thin Films
In this work, methylammonium lead trichloride (CH3NH3PbCl3) perovskite thin films were fabricated via a two-step spin coating and solvent-vapor-assisted thermal annealing method under low temperature. The films exhibited ... -
Solvent Effect on Morphological, Crystalline and Electronic Properties of Triple-Cation Lead-Tin Double-Halide Perovskite Thin Films and Their Air Stability
Recently, triple cation Cs/MA/FA and mixed halide Br/I lead perovskites were found to improve the stability and efficiency of perovskite solar cells. However, the replacement of Pb with Sn has not been fully developed. In ... -
Source Apportionment of Combustion Generated Particulate Matter Air Pollution using Excitation Emission Matrix Fluorescence Spectroscopy and Machine Learning
Exposure to particulate matter (PM) air pollution is the world’s largest environmental health risk accounting for millions of premature deaths and disability-adjusted life years annually. PM originates from natural and ...