Application of spiking neural networks for modelling the process of high-temperature hydrogen production in systems with gas-cooled reactors
Hydrogen energy is able to solve the problem of the dependence of modern industries on fossil fuels and significantly reduce the amount of harmful emissions. One of the ways to produce hydrogen is high-temperature water-steam electrolysis. Increasing the temperature of the steam in...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
National Research Nuclear University (MEPhI)
2019-06-01
|
| Series: | Nuclear Energy and Technology |
| Subjects: | |
| Online Access: | https://nucet.pensoft.net/article/36474/download/pdf/ |