Nano-sized silicon reacts rapidly with most water solutions to form pure hydrogen. However, high costlow availability are major issue. Our group has developed novel nano-sized silicon mass-production process, greatly improves its feasibilitycost for hydrogen generation. The in-time hydrogen generation by nano-size silicon, fuel-cell systemlithium ion battery system are all well integrated into one portable power system, which can satisfy general personnel electricity demand for some special conditions, such as battle field, emergency caseremote regions.

"1. Automatically generate Verilog code tools based on the hardware architecture of convolutional neural networks: 4 different hardware architectures (output stationary, weight stationary, Tree architecture, NVDLA) can be generated for the currently more commonly used DNN networks. 2. Visual performance index analysis tool: According to the selected DNN model,the choice of hardware architecture specifications, analyze the performance index."

The goal of this project is to study "low-temperature magnesium hydrogen storage materials and energy storage applications". Mg hydrogen storage materials with a hydrogen storage capacity of 5.0 wt% is developed,and their dehydrogenation rate at 250℃ will be significantly enhanced using a forcible pump. The Mg hydrogen storage powders are inserted into a tank for cyclic hydrogenation-dehydrogenation tests. The H2 gas desorbed from the tank is supplied to a high-temperature proton exchange membrane fuel cell (HT-PEMFC,160℃) for power generation.