Washington State University – Page 2

Engineering High Surface Area Catalysts for Clean Tech Applications

McIlroy D.N., Corti G., Cantrell T., Beaux M., Prakash T., Norton M.G., Washington State University, US

Since catalytic performance is a limiting factor for many essential elements of the hydrogen economy, the need for improved catalysts is great. One-dimensional (1D) nanomaterials are ideal catalysts because of their large surface area to [...]

Silica Nanosprings – A Novel Nanostructured Material for Hydrogen Storage

Norton M.G., McIlroy D.N., Corti G., Miller M.A., Washington State University, US

Hydrogen storage for transportation applications remains a challenge. Current approaches are still short of published goals, in particular in being able to operate at acceptable temperatures. Physisorption, or non-dissociative approaches, where the hydrogen is stored [...]

Engineering High Surface Area Catalysts for Clean Tech Applications

McIlroy D.N., Corti G., Cantrell T., Beaux M., Prakash T., Norton M.G., Washington State University, US

Since catalytic performance is a limiting factor for many essential elements of the hydrogen economy, the need for improved catalysts is great. One-dimensional (1D) nanomaterials are ideal catalysts because of their large surface area to [...]

On the Design of SET Adders

Sulieman M., Beiu V., Washington State University, US

Single-Electron-Technology (SET) is one of the future technologies distinguished by its small and low power devices. Among others, SET provides simple and elegant solutions for implementing threshold logic gates (TLG).One of the SET-TLG logic circuits [...]

Affiliations: Washington State University

Engineering High Surface Area Catalysts for Clean Tech Applications

Silica Nanosprings – A Novel Nanostructured Material for Hydrogen Storage

Engineering High Surface Area Catalysts for Clean Tech Applications

On the Design of SET Adders

Analysis of Micromachined PZT Membranes for MEMS Power

Operation and Testing of a Micro Heat Engine

A Neural Network Based Macromodel for Microflow Sensors