Evolutionary prediction of novel biphenylene networks as an anode material for lithium and potassium-ion batteries
The discovery of novel materials with compelling properties is more accessible with the help of advanced computational algorithms. Recent experimental synthesis of the biphenylene network (C6) motivated us to discover new BN-doped biphenylene networks (C4BN, C2B2N2, and B4N4) and their applications...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-02-01
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| Series: | Nano Materials Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589965124000199 |
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