Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development
With the projected global surge in hydrogen demand, driven by increasing applications and the imperative for low-emission hydrogen, the integration of machine learning (ML) across the hydrogen energy value chain is a compelling avenue. This review uniquely focuses on harnessing the synergy between M...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Review |
| Published: |
Elsevier B.V.
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|