Award Data

This Small Business Innovation Research Phase I research project will investigate the feasibility of using a high-speed linear array of micro grating light modulators (GLM) for cost-effective maskless lithography. Current maskless lithography tools are low-throughput instruments designed for the highest resolution markets (50-200 nm). ALCES proposes a maskless, high-throughput, lithography tool fo ...

This Small Business Innovation Research (SBIR) Phase I project will develop a design to increase efficiency of capacitor-start fractional horsepower multi-pole AC motors by 33%. Results will drive significant advantages for manufacturers by retrofitting motors into current industrial machinery to dramatically reduce electricity consumption and operating costs. The motor will also provide competiti ...

This Small Business Innovation Research (SBIR)Phase I research project is aimed at advancing the capability to create high bandwidth interconnects for increasingly higher frequency digital and analog electronics systems. The technology is applicable to printed circuit board, as well as device-level interconnects. The proposed innovation applies conformal coating of polymeric and lithographically d ...

This Small Business Innovation Research Phase I project aims to develop a process for injection molding polymer parts with tolerances, smoothness, and dimensions at a nanoscale level. This process, called Silicon Insert Molded Plastics (SIMP) (funded by a NSF grant), employs silicon inserts manufactured using microfabrication techniques as the feature generating surfaces of a mold tool. Current mo ...

This Small Business Innovation Research (SBIR) Phase I Project will deliver simulations over the web for secondary and postsecondary science instruction. These simulations focus explicitly on students coming to understand the "nature of science." By the nature of science, Epistemological Engineering means both the underlying logic of scientific discovery and the way that science is organized arou ...

This Small Business Innovation Research (SBIR) Phase I project will investigate the feasibility of knowledge extraction from Support Vector Machine (SVM) non-linear models and their results for drug data sets. SVMs are an accurate method of statistical machine learning for data mining. This project references research papers where SVMs have performed very well at predicting activity and properties ...

This Small Business Innovation Research (SBIR) Phase I research project will enable software systems to make use of data on the Web. The semantic web is intended to allow data to be shared and used by software applications. Unfortunately, in the present world, data on the Web is generally inaccessible to most applications because it is presented in a format intended to be usable by humans, as opp ...

This Small Business Innovation Research (SBIR) Phase I project proffers an innovative approach to machine translation. The project model aims to overcome two important bottlenecks in the development of a high quality Statistical Machine Translation (SMT) system: (1) the inability to handle structural problems, and (2) dependence on huge amounts of parallel texts. The inability of statistics to s ...

This Small Business Innovation Research (SBIR) Phase I project will support the development of software which will modernize the way that researchers of the hepatitis epidemic manage and analyze their data. This project will provide a solution for the hepatitis C virologist initially, and will expand to accommodate data from other hepatitis virus strains during Phase II funding and beyond. Scienti ...

This Small Business Innovation Research Phase I project explores the feasibility to develop a Supply Chain Optimization and Product Explorer (SCOPE) that includes a unique 3D Shape Search technology, and enables tighter integration across the extended enterprise and seamless flow of information up the supply chain to decision makers at the point when product parameters are being specified. The res ...