A Gentle Introduction to Uncertainty Quantification
19 Aug 2016 | Online Presentations | Contributor(s): Ilias Bilionis
Project Proposal Template
19 Aug 2016 | Downloads | Contributor(s): Amy Marconnet
Form a team of 2-3 and submit a project proposal (1 slide quad chart) to the instructor (by email) for approval. The project proposal should include a description of the idea, an outline of the technical approach, a graphic succinctly illustrating the project, and a short list of references and...
22 Aug 2016 | Online Presentations
Practice Your Scales!
Thermal and Energy Nanomaterials for Fast Processes
17 Aug 2016 | Online Presentations | Contributor(s): Timothy S Fisher
Introduction to the Quantum Design Systems in the Birck Spintronics Lab
17 Aug 2016 | Online Presentations | Contributor(s): Neil R Dilley
Presentation about the design and capabilities of the PPMS DynaCool Cryostat and the MPMS-3 SQUID Magnetometer.
Basics of 3D Cell Culture: Forming Spheroids in the Presence of Extracellular Matrix II
16 Aug 2016 | Online Presentations
Basics of 3D Cell Culture: Forming Spheroids in the Presence of Extracellular Matrix I
16 Aug 2016 | Online Presentations
Generalizing the Quantum Dot Lab Towards Arbitrary Shapes and Compositions
26 Aug 2016 | Online Presentations | Contributor(s): Matt Allen Bliss
As applications in nanotechnology reach the scale of countable atoms, computer simulation has become a necessity in the understanding of new devices, such as quantum dots. To understand the various optoelectronic properties of these nanoparticles, the Quantum Dot Lab (QDL) has been created and...
Large Scale Monolithic Solar Panel Simulation - A Study on Partial Shading Degradation
22 Aug 2016 | Online Presentations | Contributor(s): Suhas Venkat Baddela
Shadow-induced degradation is a major concern for both power output and long-term reliability in solar cells. Apart from the obvious fact that shading reduces the amount of solar irradiance available to solar panels, it may lead to formation of hot spots, where solar cells are forced to reverse...
Performance of TF-VLS Grown InP Photovoltaic Cells
22 Aug 2016 | Online Presentations | Contributor(s): Junyan Shi
A grand challenge of photovoltaics (PV) is to find materials offering a promising combination of low costs and high efficiencies. While III-V material-based PV cells have set many world records, often their cost is much greater than other commercial cells. To help address this gap, thin-film...
Optimization under Uncertainty Tool for Modeling Porous Lithium-Ion Batteries
22 Aug 2016 | Online Presentations | Contributor(s): Lefei Zhang
The motivation of this tool is to optimize the performance of battery based on energy output. During the manufacturing process, several parameters such as cathode thickness, the volume concentration of cathode and radius of negative active materials are subject to uncertainty. To optimize...
Designing an Experimentally Feasible Selective Thermal Emitter for a Thermophotovoltaic System
22 Aug 2016 | Online Presentations | Contributor(s): Namrata Vivek Raghavan, Peter Bermel, Enas Sakr, Haejun Chung
More than 60% of the raw energy used in the US is dissipated as waste heat. Thermophotovoltaics (TPV) provide a means to capture this waste heat into electricity. Inefficiencies in TPV systems are due to various loss mechanisms, particularly a lack of spectral matching between the emission...
Atomistic Configuration Interaction Simulation Tool for Semiconductor Based Quantum Computing Devices
22 Aug 2016 | Online Presentations | Contributor(s): Jingbo Wu
Atomistic Configuration Interaction (ACI) is a simulation tool for solid state quantum computing devices. It will allow user to obtain both donor and quantum dot electron wave function precisely by using configuration interaction method. Jingbo Wu is a senior year electrical...
Microstructure Evolution During Powder Compaction
26 Aug 2016 | Online Presentations | Contributor(s): Carlos E Fernandez-Caban
The process of powder compaction consists of the synthesis of loose powders into a solid material. The applications of compaction of granular systems extend to pharmaceuticals, detergents, food, ceramic and metallurgical processes. It is indispensable to have a thorough understanding of the...
Model Selection Using Gaussian Mixture Models and Parallel Computing
22 Aug 2016 | Online Presentations | Contributor(s): Tian Qiu, Georgios Karagiannis, Guang Lin
In recent years, model selection methods have seen significant advancement, but improvements have tended to be marked on its efficiency. An effective model selection requires a robust feature extraction module. A model selection system is developed by using Finite Multivariate Generalized...
Relative Contributions of Inelastic/Elastic Phonon Scattering to Thermal Boundary Conductance across Solid Interfaces
26 Aug 2016 | Online Presentations | Contributor(s): Mengxi Zhao
We investigate the relative contributions of inelastic/elastic phonon scattering to the thermal boundary conductance by running molecular dynamics (MD) simulation. The diffuse mismatch model (DMM) is extended to the phonon radiation limit (RL) to calculate the maximum interfacial thermal...
Gaussian Process Regressions for Objective Surrogates in Stochastic Multi-Objective Optimization
22 Aug 2016 | Online Presentations | Contributor(s): Juan Sebastian Martinez
Multi-objective optimization (MOO) problems arise frequently in science and engineering situations. In an optimization problem, we want to find the set of input parameters that generate the set of optimal outputs, mathematically known as the Pareto frontier (PF). Solving the MOO problem is a...
Coarse Graining of Crystalline Cellulose
29 Jul 2016 | Tools | Contributor(s): Kuo Tian, Mehdi Shishehbor, Pablo Daniel Zavattieri
Bio-inspired Crystalline Nano-Cellulose coarse graining toolkit
27 Jul 2016 | Tools | Contributor(s): Lefei Zhang, Guang Lin, Salar Safarkhani
Tool for modeling Porous Lithium-Ion Batteries for optimization and uncertainty quantification.
Electrostatic Desalting of Droplets for Biochemical Applications
27 Jul 2016 | Downloads | Contributor(s): Piyush Dak, Muhammad A. Alam
The MATLAB code determines the desalted ionic concentration when a droplet with a particular size and contact angle is placed on a pair of electrodes with a particular desalting bias. Droplet desalting can be useful for a number of applications, such as, overcoming screening limited...