Artificial intelligence approach for estimating energy density of liquid metal batteries
Abstract Achieving a high energy density in liquid metal batteries (LMBs) still remains a big challenge. Due to the multitude of affecting parameters within the system, traditional ways may not fully capture the complexity of LMBs. The artificial intelligence approach can be effectively applied to d...
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| Main Authors: | Pouya Zakerabbasi, Sina Maghsoudy, Alireza Baghban, Sajjad Habibzadeh, Amin Esmaeili |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-97287-7 |
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