Yu Merla
Electrical and Electronic Engineering · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 71 citations into it; #11,180 of 16,539 by trust here, #8,627 by citations
- Automotive Engineering — 66 citations into it; #1,965 of 3,081 by trust here, #1,569 by citations
Whom Yu Merla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yu Merla overall
Papers from Yu Merla's perspective
Ordered by how strongly the researchers Yu Merla trusts endorse each paper. Same corpus, a different order for every researcher.
- Synthesize battery degradation modes via a diagnostic and prognostic model
- A Mathematical Model for the Lithium-Ion Negative Electrode Solid Electrolyte Interphase
- A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
- Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs
- A thermal-electrochemical model that gives spatial-dependent growth of solid electrolyte interphase in a Li-ion battery
- Review of selected electrode–solution interactions which determine the performance of Li and Li ion batteries
- Thermodynamics of Lithium Intercalation into Graphites and Disordered Carbons
- How Do Reactions at the Anode/Electrolyte Interface Determine the Cathode Performance in Lithium-Ion Batteries?
- A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
- Aging mechanisms of lithium cathode materials
Their papers
- Differential thermal voltammetry for tracking of degradation in lithium-ion batteries (2014) — 140 citations
- Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries (2016) — 143 citations
- Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction (2020) — 249 citations