Standout Papers

Data-driven prediction of battery cycle life before capacity degradation 2019 2026 2021 2023 1.7k
  1. Data-driven prediction of battery cycle life before capacity degradation (2019)
    Kristen Severson, Peter M. Attia et al. Nature Energy
  2. Closed-loop optimization of fast-charging protocols for batteries with machine learning (2020)
    Peter M. Attia, Aditya Grover et al. Nature
  3. Review—“Knees” in Lithium-Ion Battery Aging Trajectories (2022)
    Peter M. Attia, Alexander Bills et al. Journal of The Electrochemical Society
  4. Challenges and opportunities for high-quality battery production at scale (2025)
    Peter M. Attia, Patrick K. Herring et al. Nature Communications

Immediate Impact

1 by Nobel laureates 23 from Science/Nature 84 standout
Sub-graph 1 of 20

Citing Papers

All-solid-state Li–S batteries with fast solid–solid sulfur reaction
2025 StandoutNature
Characterizing Electrode Materials and Interfaces in Solid-State Batteries
2025 Standout
1 intermediate paper

Works of Peter M. Attia being referenced

Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols
2021
Evolution of the Solid–Electrolyte Interphase on Carbonaceous Anodes Visualized by Atomic-Resolution Cryogenic Electron Microscopy
2019

Author Peers

Author Last Decade Papers Cites
Peter M. Attia 3106 2936 34 431 24 3.6k
Patrick K. Herring 2649 2433 44 402 24 3.4k
Norman Jin 2660 2386 7 366 11 3.2k
Dimitrios Fraggedakis 2508 2163 14 312 22 3.2k
Kristen Severson 2085 2062 20 370 21 3.0k
Michael H. Chen 2046 2026 7 362 21 2.6k
Zi Yang 2074 2054 16 366 18 2.5k
Afida Ayob 2759 2457 20 261 66 3.4k
Weihan Li 2983 2882 14 303 67 3.8k
Manh‐Kien Tran 2426 2553 26 145 32 3.1k
Benben Jiang 1911 1968 20 386 45 2.7k

All Works

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2026