Automated Power-Aware System-Level Design with the MAVO Framework

مرکز و کتابخانه مطالعات اسلامی به زبان های اروپایی

منو

" Automated Power-Aware System-Level Design with the MAVO Framework "
Samei Syahkal, Yasaman Doemer, Rainer

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	898605
Doc. No	:	TL79x9b6qj
Main Entry	:	Lee, James J.
Title & Author	:	Mechanical Properties of Semiconducting Polymers\ Root, Samuel EvanLipomi, Darren J.
Date	:	2018
student score	:	2018
Abstract	:	Mechanical softness and deformability underpin most of the advantages offered by semiconducting polymers. A detailed understanding of the mechanical properties of these materials is crucial for the design and manufacturing of robust, thin-film devices such as solar cells, displays, and sensors. The mechanical behavior of polymers is a complex function of many interrelated factors that span multiple scales, ranging from molecular structure, to microstructural morphology, and device geometry. This thesis builds a comprehensive understanding of the thermomechanical properties of polymeric semiconductors through the development and experimental-validation of computational methods for mechanical simulation. A predictive computational methodology is designed and encapsulated into open-sourced software for automating molecular dynamics simulations on modern supercomputing hardware. These simulations are used to explore the role of molecular structure/weight and processing conditions on solid-state morphology and thermomechanical behavior. Experimental characterization is employed to test these predictions—including the development of simple, new techniques for rigorously characterizing thermal transitions and fracture mechanics of thin films.
Added Entry	:	Root, Samuel Evan
Added Entry	:	UC San Diego