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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
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MD5: 4ccdb92c7698362ee6b097c73bc81a0d
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
Comma Separated Values - 229.9 KB -
MD5: 396682d3f12cb59924173ea823f3b863
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
Comma Separated Values - 325 B -
MD5: 828544ee5b09091aa088540db40909b9
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
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MD5: 67f82b499db1f1d355ccc5d2a29791e1
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
TIFF Image - 545.8 KB -
MD5: 84abe885e61528d723e26694ef1a25c9
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
TIFF Image - 460.1 KB -
MD5: 53c82386cbb1df218a36f4a91c4515bc
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
TIFF Image - 438.5 KB -
MD5: a79fd67f1bdec8aefe455297e998e201
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May 8, 2026 -
Boosting Zinc-Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots
Comma Separated Values - 23.3 KB -
MD5: 9db01add11c0d8d81d383ab9ad6f3f9b
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May 8, 2026 - University of South-Eastern Norway
zhang, guoli; wei, chenglu, 2026, "Electrochemical and Structural Data of Carbon-Based Materials for Energy Storage", https://doi.org/10.18710/F4NFMJ, DataverseNO, V1
This dataset contains electrochemical and structural characterization data of carbon-based materials for energy storage applications. The dataset includes cyclic voltammetry (CV), galvanostatic charge–discharge (GCD), electrochemical impedance spectroscopy (EIS), and cycling performance data, as well as X-ray diffraction (XRD), Raman spectroscopy,... |
Plain Text - 4.7 KB -
MD5: 99bc257f019c0af9893584d1d4e2f1dc
README file describing dataset structure, file organization, sample naming, and experimental details. |
