Studies of two nanoscale systems with important engineering applications, Al-Si nanocomposites and Au nanoasperities, are investigated using molecular dynamics. The first system is studied in …
Calculations of thermodynamic and mechanical properties of defected or non-crystalline bulk structure simulations benefit from the level of accuracy permitted by density functional theory (DFT) …
Over the past decade, nanotwinned metals have attracted considerable attention due to their exceptional mechanical properties, such as ultra-high strength, good tensile ductility, high fracture …
The modern world's growing energy demands require the development of cost-effective and durable electrocatalysts to support sustainable energy conversion and storage technologies like proton-exchange membrane …
Quantum mechanical (QM) methods are employed to obtain necessary thermochemical properties of molecules that lack experimental data. However, accurate QM methods are restricted by their …
Bacterial infections can be difficult to treat and potentially lethal due to the rising global threat of antibiotic resistance. Systemic administration and overuse of antibiotics …
In the Reynolds number range (1e4 − 1e5) relevant for bat or bird scale flapping wing robots, there is little experimental data, nor appropriate reduced …
In this thesis, we studied the dynamic toughening mechanisms of a hierarchically nanostructured copolymer, polyurea. We first quantitively measured the dynamic fracture toughness as well …
Cellulose as the most abundant chemical raw material in the earth has been used for long time. Its new derivative, nanocellulsoe, also draws great attention …
Two-dimensional (2D) materials are a large class of atomically thin, sheet-like solids, whose chemical stability is a critical issue for commercial devices and nanomaterial driven …
This dissertation focuses on biomechanistic and bioinformatic modeling of diabetes. Specifically, it is expanded on four fronts: 1) Quantification of fibrinogen-dependent red blood cells adhesion. …
Automatic recognition and segmentation of objects in images is a central open problem in computer vision. The failure of the segmentation-then-recognition paradigm to produce reliable …
Millions of individuals around the world suffer from various forms of paralysis. Major causes include spinal cord injury, stroke, and diseases affecting nerve cells such …
There is tremendous interest in graphene-based membranes as protective molecular barriers or molecular sieves for separation technologies. Graphene oxide (GO) films in the dry state …
In the realm of image-based regression, extracting comprehensive information is pivotal. Traditional methods like convolutional neural networks (CNNs) often employ max-pooling or average pooling in …
Cellular viability represents whether a cell is performing normal functions, relating to intracellular energy synthesis. Accurately quantifying the cellular viability would facilitate novel studies on …
Ceria nanoparticles have received a lot of notice in current research for their recyclable antioxidant properties. They are most commonly studied in biological practice for …
Automated estimation of the geometry and appearance of surfaces from aerial imagery is an active research topic with applications in computer vision, remote sensing, robotics …
We present experimental investigations aimed at characterizing the flow physics associated with strong fluid-structure interactions that drive large-scale oscillations of an elastically-supported wing in a …
Nitinol, a nickel-titanium shape-memory alloy, is widely used in medical stents for its distinctive properties, including superelasticity. This alloy exhibits a high-temperature austenite phase (B2) …