Prediction of hydrogen storage in metal-organic frameworks: A neural network based approach
Gas capture, sensing, and storage systems are all within the capabilities of metal–organic frameworks (MOFs). It is common practise to choose the MOF with the best adsorption property from a large database before running an adsorption calculation. High-throughput computational research is sometimes...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
|
| Series: | Results in Surfaces and Interfaces |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666845923000739 |