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Sustainable Fuel Design Probabilistic Deep Learning 1749980283 by 4dgqvxdw7j is a document available to read on EtoBox.
This document discusses a probabilistic deep learning framework for designing sustainable fuels aimed at achieving net zero CO2 emissions by 2050-2060, particularly in hard-to-abate sectors like heavy-duty transport. The framework utilizes a conditional generative model to predict the physicochemical properties of fuel blends, integrating AI and machine learning to optimize fuel design while accounting for uncertainties. The approach aims to create low-carbon alternative fuels that are compatible with exist
- Author
- 4dgqvxdw7j
- Language
- EN