High‐Throughput Generation of 3D Graphene Metamaterials and Property Quantification Using Machine Learning
3D graphene assemblies are proposed as solutions to meet the goal toward efficient utilization of 2D graphene sheets, showing excellent performances in applications such as mechanical support, energy storage, and electrochemical catalysis. However, given the diversity and complexity of possible grap...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022
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| Online Access: | https://hdl.handle.net/1721.1/145464 |