Skip to content
DraconiticResearch
Search Sources API
186,123 studies31 sourcesUpdated 52 min ago
PreprintCC BYChemRxiv

AMIDR Validation with PyBaMM

  • Marcin Kwidziński1
  1. 1Tangram Battery sp. z o. o., Al. Jerozolimskie 424A, Pruszków, Poland, 05-800
Open at sourcePDFDOICite

Abstract

The accuracy of the Atlung Method for Intercalant Diffusion and Resistance (AMIDR) for determining solid-state lithium diffusion was evaluated using synthetic data generated with the Single Particle Model (SPM) and Doyle–Fuller–Newman (DFN) models implemented in PyBaMM. Under SPM conditions, the AMIDR model achieved single-digit errors across a wide range of parameters but exhibited significant fitting errors at extreme parameter values. DFN simulations revealed an additional systematic underestimation of diffusion at high DNMC due to electrolyte transport, with errors approaching two orders of magnitude despite optimized cell design.

Related

  1. GITT Evaluation with PyBaMM
    Marcin Kwidziński
    ChemRxivPreprintCC BYFull textGeneral chemistryChemRxiv
  2. Donor-level validation of Raman spectroscopy for breast cancer subtype classification
    ali khoshnami, Seyedeh Rahemeh Amiri
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  3. Integrating artificial intelligence and molecular simulation for peptide discovery: limitations, validation and decision-centered workflows
    Xu Wu, Wei Fu
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  4. Identification and Experimental Validation of Repurposable Drugs Targeting the Essential ClpP1 Protease of Mycobacterium tuberculosis
    Smriti Bhardwaj, Kuldeep K. Roy
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  5. Cross-Validation of Electrochemical, Spectroscopic, and Gravimetric Methods for Characterizing Self-Assembled Monolayers
    Jiayao Lu, Siyuan L. Xie, Davis Kurdyla +1
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv

Cite

BibTeXRIS
BibTeX
@misc{kwidzinski2026amidr,
  title = {{AMIDR Validation with PyBaMM}},
  author = {Marcin Kwidziński},
  howpublished = {ChemRxiv},
  year = {2026},
  month = sep,
  doi = {10.26434/chemrxiv.15008190/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008190/v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - AMIDR Validation with PyBaMM
AU  - Marcin Kwidziński
PY  - 2026
DA  - 2026/09/02
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15008190/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008190/v1
AB  - The accuracy of the Atlung Method for Intercalant Diffusion and Resistance (AMIDR) for determining solid-state lithium diffusion was evaluated using synthetic data generated with the Single Particle Model (SPM) and Doyle–Fuller–Newman (DFN) models implemented in PyBaMM. Under SPM conditions, the AMIDR model achieved single-digit errors across a wide range of parameters but exhibited significant fitting errors at extreme parameter values. DFN simulations revealed an additional systematic underestimation of diffusion at high DNMC due to electrolyte transport, with errors approaching two orders of magnitude despite optimized cell design.
ER  -