TPU creates deep learning model for accurate hydrogen solubility prediction for underground hydrogen storage reservoirs
Researchers from Tomsk Polytechnic University have first developed hybrid deep learning models to predict the solubility of hydrogen stored underground. The results obtained may facilitate the development of more efficient hydrogen storage strategies. The research was supported by the federal program Priority-2030 of the Russian Ministry of Science and Higher Education as part of the national project Science and Universities.
