TGViewer
Science Scroll Science Scroll @sciencescroll · 385 subscribers
Post #74530 3
📄 An empirical analysis of degradation aware machine learning models for early life prediction of lithium-ion batteries

📝 این مقاله مدل‌های یادگیری ماشین آگاه از تخریب را برای پیش‌بینی عمر اولیه باتری‌های لیتیوم-یون به‌صورت تجربی تحلیل می‌کند.

📚 Journal: Journal of Energy Storage #JournalOfEnergyStorage
📅 Date: Unknown
🔬 Research Article
🔗 10.1016/j.est.2026.124920

🏷 lithium-ion battery · degradation aware · machine learning · early life prediction · empirical analysis
More from @sciencescroll
  1. Oct 6, 2026📄 Location, location, location: how to edit genes only in the cells you want 📝 این مقاله…
  2. Oct 6, 2026📄 Metasurfaces for the nanoscale engineering of light–matter coupling 📝 این مقاله به برر…
  3. Oct 6, 2026📄 Cu 1.81 S/CoS 2 heterostructure confined by MXenes for high capacity sodium-ion battery…
  4. Oct 6, 2026📄 Unlocking CO 2 Photoreduction with Re(I) Single-Site COF-based Catalysts: Structure-Act…
  5. Oct 6, 2026📄 Waste cigarette butt-derived porous carbon frameworks for high-Si-content Si/C anodes:…
  6. Oct 6, 2026📄 One-pot coupled sulfur doping and glycine intercalation enabling dual-interfacial modul…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →