Utilizing Machine Learning to Predict the Charge Storage Capability of Lithium-Ion Battery Materials.
- Published in:
- Eurasian Chemico-Technological Journal, 2025, v. 27, n. 1, p. 3, doi. 10.18321/ectj1651
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- Publication type:
- Article
Works matching IS 15623920 AND DT 2025 AND VI 27 AND IP 1
Results: 5
1
2
Experimental and Surface Evaluation of Zinc Electroplating Efficiency and Corrosion Inhibition Effects of Centaurea napifolia Extracts.
- Published in:
- Eurasian Chemico-Technological Journal, 2025, v. 27, n. 1, p. 45, doi. 10.18321/ectj1655
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- Publication type:
- Article
3
Two-Stage Conversion of Carbon Dioxide to Methanol on Co-Pd-Containing Catalysts Based on Aluminosilicates at Atmospheric Pressure.
- Published in:
- Eurasian Chemico-Technological Journal, 2025, v. 27, n. 1, p. 35, doi. 10.18321/ectj1654
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- Publication type:
- Article
4
Knock Characteristics of Gas Fuels in the Light of the Kinetics of Hydrogen and Methane Oxidation.
- Published in:
- Eurasian Chemico-Technological Journal, 2025, v. 27, n. 1, p. 21, doi. 10.18321/ectj1653
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- Publication type:
- Article
5
Nano- and Micro-Sized LaNi<sub>5</sub> Electrochemical Behaviour as Anode Material for Ni-MH Batteries.
- Published in:
- Eurasian Chemico-Technological Journal, 2025, v. 27, n. 1, p. 13, doi. 10.18321/ectj1652
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- Publication type:
- Article