Modeling single-crystal electrodes as a network of primary particles
A physics-based network model of primary particles, informed by tomography, predicts LiFePO 4 electrode behavior across conditions without empirical tuning, bridging particle-scale physics to cell performance.
Authors
- Santosh K. Pal (ORCID: https://orcid.org/0000-0003-4810-5330)
- Alexandros Vasileiadis (ORCID: https://orcid.org/0000-0001-9761-7936)
- Fokko M. Mulder (ORCID: https://orcid.org/0000-0003-0526-7081)
- Marnix Wagemaker (ORCID: https://orcid.org/0000-0003-3851-1044)
- Pranav Karanth (ORCID: https://orcid.org/0000-0002-9945-2845)
- Shakul Pathak
- Martin Z. Bazant (ORCID: https://orcid.org/0000-0002-8200-4501)
- Pierfrancesco Ombrini (ORCID: https://orcid.org/0009-0004-0494-1403)
- Dimitrios Ntagkras
Institutions
- Massachusetts Institute of Technology (US)
- Delft University of Technology (NL)
Publication Details
- Journal
- Energy & Environmental Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ee04131g
- Citations
- 2
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.99
Funders
- Shell
- Shell Global Solutions International
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek