U. Stimming

Materials Chemistry · 2000–2020

A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom U. Stimming trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. Gorte
  2. J. Vohs

Who trusts U. Stimming overall

  1. J. Fergus
  2. Weng Cheong Tan

Papers from U. Stimming's perspective

Ordered by how strongly the researchers U. Stimming trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gaussian Processes for Machine Learning (GPML) Toolbox
  2. On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
  3. Gaussian process regression for forecasting battery state of health
  4. A Unifying View of Sparse Approximate Gaussian Process Regression
  5. Data-driven prediction of battery cycle life before capacity degradation (Nature Energy)
  6. A Mathematical Model for the Lithium-Ion Negative Electrode Solid Electrolyte Interphase
  7. Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (IEEE Transactions on Industrial Informatics)
  8. Remaining useful life estimation - A review on the statistical data driven approaches (European Journal of Operational Research)
  9. A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
  10. Lithium batteries: Status, prospects and future

Their papers