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Articles 1 - 8 of 8
Full-Text Articles in Engineering
The Role Of Extracellular Polymeric Substances In The Accumulation And Transport Of Polystyrene Nanoparticles In Biofilms, Joann Marie Rodríguez Suarez
The Role Of Extracellular Polymeric Substances In The Accumulation And Transport Of Polystyrene Nanoparticles In Biofilms, Joann Marie Rodríguez Suarez
Doctoral Dissertations
With the increasing number of nanotechnology applications, it is reasonable to expect nanoparticles to be ubiquitous in biofilms found in natural and engineered aquatic systems. We studied the impact of the degree of cross-linking on the deposition and diffusion of polystyrene nanoparticles (NPs) in alginate model biofilm matrices in the presence and absence of calcium cross-linkers using image correlation methods and single particle tracking. We found that cross-linking increases the viscoelasticity and hydration of the polymeric matrix and leads to structural changes that can restrict and alter the diffusive behavior of NPs, but the magnitude of the effects on diffusion …
Thermal Transport Modeling Of Semiconductor Materials From First Principles, Aliya Qureshi
Thermal Transport Modeling Of Semiconductor Materials From First Principles, Aliya Qureshi
Masters Theses
Over the past few years, the size of semiconductor devices has been shrinking whereas the density of transistors has exponentially increased. Thus, thermal management has become a serious concern as device performance and reliability is greatly affected by heat. An understanding of thermal transport properties at device level along with predictive modelling can lead us to design of new systems and materials tailored according to the thermal conductivity. In our work we first review different models used to calculate thermal conductivity and examine their accuracy using the experimentally measured thermal conductivity for Si. Our results suggest that empirically calculated rates …
Protein-Nanoparticle Co-Engineering: Self-Assembly, Intracellular Protein Delivery, And Crispr/Cas9-Based Gene Editing, Rubul Mout
Doctoral Dissertations
Direct cytoplasmic delivery of gene editing nucleases such CRISPR/Cas9 systems and therapeutic proteins provides enormous opportunities in curing human genetic diseases, and assist research in basic cell biology. One approach to attain such a goal is through engineering nanotechnological tools to mimic naturally existing intra- and extracellular protein delivery/transport systems. Nature builds transport systems for proteins and other biomolecules through evolution-derived sophisticated molecular engineering. Inspired by such natural assemblies, I employed molecular engineering approaches to fabricate self-assembled nanostructures to use as intracellular protein delivery tools. Briefly, proteins and gold nanoparticles were co-engineered to carry complementary electrostatic recognition elements. When these …
Terahertz Radiation From Electrically Driven Graphene, Single Walled Carbon Nanotubes, And Platinum Nanostructures, Martin M. Muthee
Terahertz Radiation From Electrically Driven Graphene, Single Walled Carbon Nanotubes, And Platinum Nanostructures, Martin M. Muthee
Doctoral Dissertations
Terahertz power generation continues to be a subject of great interest owing mainly to the sparsity and diversity of sources. Though there has been remarkable development in sources, ranging from quantum cascade lasers, time domain spectroscopy systems and multiplier sources, there still exists hurdles when it comes to integration and application. While some sources excel in a particular attribute like power, they are severely limited when it comes to on-chip or system integration, for example. Furthermore, tunable bandwidth and power are inversely related. Electrically driven radiation sources are emergent and this thesis presents work in terahertz generation from arrays of …
Study Of The Self-Assembly Process Of Microporous Materials Using Molecular Modeling, Mohammad Navaid Khan
Study Of The Self-Assembly Process Of Microporous Materials Using Molecular Modeling, Mohammad Navaid Khan
Doctoral Dissertations
Zeolites are an important class of materials in modern technology with applications in catalysis, separations, biosensing and microelectronics. There are over 200 different zeolite frameworks reported in literature, but only a handful have been used commercially. Understanding their self-assembly process would assist in the fabrication of new zeolites through the control of their pore size/shape, and surface area for advanced applications. With our research we aim to elucidate aspects of zeolite formation using molecular simulations. We have extended the lattice model of silica tetrahedra developed by Jin et al. [L. Jin, S. M. Auerbach and P. A. Monson J. Chem. …
Refractive Index Engineering And Optical Properties Enhancement By Polymer Nanocomposites, Cheng Li
Refractive Index Engineering And Optical Properties Enhancement By Polymer Nanocomposites, Cheng Li
Doctoral Dissertations
The major part of this dissertation discusses the engineering of the refractive index of materials using solution-processable polymer nanocomposites and their applications in building optical components and devices. Three particular polymer nanocomposites have been introduced to achieve materials with tunable refractive indices and enhanced optical properties, which can be used to manipulate the behavior of light or electromagnetic radiations. In the first system, polyhedral oligomeric silsesquioxane (POSS)/polymer nanocomposites are developed. Thin films with tunable, low refractive indicies were fabricated from the composites. The mechanical strength of these films was characterized, and their application in antireflective coatings is discussed. In the …
Physically Equivalent Intelligent Systems For Reasoning Under Uncertainty At Nanoscale, Santosh Khasanvis
Physically Equivalent Intelligent Systems For Reasoning Under Uncertainty At Nanoscale, Santosh Khasanvis
Doctoral Dissertations
Machines today lack the inherent ability to reason and make decisions, or operate in the presence of uncertainty. Machine-learning methods such as Bayesian Networks (BNs) are widely acknowledged for their ability to uncover relationships and generate causal models for complex interactions. However, their massive computational requirement, when implemented on conventional computers, hinders their usefulness in many critical problem areas e.g., genetic basis of diseases, macro finance, text classification, environment monitoring, etc. We propose a new non-von Neumann technology framework purposefully architected across all layers for solving these problems efficiently through physical equivalence, enabled by emerging nanotechnology. The architecture builds …
Architecting Np-Dynamic Skybridge, Jiajun Shi
Architecting Np-Dynamic Skybridge, Jiajun Shi
Masters Theses
With the scaling of technology nodes, modern CMOS integrated circuits face severe fundamental challenges that stem from device scaling limitations, interconnection bottlenecks and increasing manufacturing complexities. These challenges drive researchers to look for revolutionary technologies beyond the end of CMOS roadmap. Towards this end, a new nanoscale 3-D computing fabric for future integrated circuits, Skybridge, has been proposed [1]. In this new fabric, core aspects from device to circuit style, connectivity, thermal management and manufacturing pathway are co-architected in a 3-D fabric-centric manner.
However, the Skybridge fabric uses only n-type transistors in a dynamic circuit style for logic and memory …