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Machine learning driven synthesis of nickel phosphate for advanced hybrid supercapacitors
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DOI：10.1016/j.est.2026.124029.png)
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Abstract
En 中文
• Machine learning identified key factors governing NP performance. • Synthesis, device, and testing parameters were systematically analyzed. • NP was synthesized hydrothermally under varied conditions. • NP-4 exhibited a capacity of 59.1 mAh g−1 at 3 A g−1 in 1 M KOH. • NP-4//AC achieved 16.6 Wh kg−1 and 88.7% retention after 10,000 cycles.
Keywords:
Machine learning
Predicted capacitance
Nickel phosphate
Hydrothermal method
Hybrid supercapacitor
Journal
IF:
9.8
Papers:
2.2W
Citations:
10.1W
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