Research graph
References from An accelerated method for determining the solid-phase diffusion coefficient and reaction-rate constant for Li-ion batteries. Local targets link to admitted publications; unresolved targets remain external evidence.
Thermal model for a Li-Ion cell
2007 · External reference
Comparison of modeling predictions with experimental data from plastic lithium ion cells
10.1149/1.1836921 · 1996 · External reference
Modeling and simulation of lithium-ion batteries from a systems engineering perspective
10.1149/2.018203jes · 2012 · External reference
Porous-electrode theory with battery applications
10.1002/aic.690210103 · 1975 · External reference
Porous electrode modeling and its applications to Li-Ion batteries
10.1002/aenm.202201506 · 2022 · External reference
Full cell parameterization of a high-power lithium-ion battery for a physico-chemical model: part I. Physical and electrochemical parameters
2018 · External reference
Full parameterization study of a high-energy and high-power Li-Ion cell for physicochemical models
10.1149/1945-7111/ace1a7 · 2023 · External reference
Parameterization of a physico-chemical model of a lithium-ion battery: I. Determination of parameters
2015 · External reference
Physics-based modeling of sodium-ion batteries part I: experimental parameter determination
2022 · External reference
Development of experimental techniques for parameterization of multi-scale lithium-ion battery models
10.1149/1945-7111/ab9050 · 2020 · External reference
Determination of state-of-charge dependent diffusion coefficients and kinetic rate constants of phase changing electrode materials using physics-based models
10.1016/j.powera.2021.100056 · 2021 · External reference
Analysis of the galvanostatic intermittent titration technique (GITT) as applied to a lithium-ion porous electrode
10.1016/j.jpowsour.2008.09.045 · 2009 · External reference
Rapid determination of solid-state diffusion coefficients in Li-based batteries via intermittent current interruption method
10.1038/s41467-023-37989-6 · 2023 · External reference
Implementing intermittent current interruption into Li-ion cell modelling for improved battery diagnostics
10.1016/j.electacta.2022.140888 · 2022 · External reference
A fast and accurate method for inferring solid-state diffusivity in lithium-ion battery active materials
10.1016/j.est.2026.120831 · 2026 · External reference
Understanding the role of microstructure in the extraction of solid-state diffusion coefficients by a 3D modeling approach
10.1149/1945-7111/ae7cb8 · 2026 · External reference
Evaluating the determination of solid-phase diffusion and reaction-rate constant for Li-ion batteries
10.1016/j.est.2025.117628 · 2025 · External reference
Galvanostatic intermittent titration and performance based analysis of LiNi0.5Co0.2Mn0.3O2 cathode
10.1149/2.1701713jes · 2017 · External reference
Initial proof-of-concept for an accelerated galvanostatic intermittent titration technique via embedded machine learning
10.1149/1945-7111/ae26cd · 2025 · External reference
A comparison between physics-based Li-ion battery models
10.1016/j.electacta.2024.144360 · 2024 · External reference
Battery state estimation for a single particle model with electrolyte dynamics
10.1109/tcst.2016.2571663 · 2017 · External reference
Model simplifications and their impact on computational complexity for an electrochemistry-based battery modeling toolbox
10.1016/j.jpowsour.2020.229427 · 2021 · External reference
A continuum of physics-based lithium-ion battery models reviewed
2022 · External reference
Review of simplified pseudo-two-dimensional models of lithium-ion batteries
10.1016/j.jpowsour.2016.07.036 · 2016 · External reference
Comparison of battery electromotive-force measurement and modelling approaches
10.1016/j.est.2022.105910 · 2022 · External reference
Modeling all-solid-state Li-Ion batteries
2010 · External reference
Modeling of all-solid-state thin-film Li-ion batteries: accuracy improvement
10.1016/j.ssi.2019.02.003 · 2019 · External reference
Degradation mechanisms of C6/LiFePO4 batteries: experimental analyses of cycling-induced aging
10.1016/j.electacta.2016.05.091 · 2016 · External reference
NIH image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · 2012 · External reference
GITT analysis of lithium insertion cathodes for determining the lithium diffusion coefficient at low temperature: challenges and pitfalls
10.1149/1945-7111/ab9404 · 2020 · External reference
Electrochemical modeling of GITT measurements for improved solid-state diffusion coefficient evaluation
10.1021/acsaem.1c02218 · 2021 · External reference
Porous electrode modeling and its applications to Li-Ion batteries
10.1002/aenm.202201506 · ExternalCitation · doi-reference
Porous-electrode theory with battery applications
10.1002/aic.690210103 · ExternalCitation · doi-reference
Degradation mechanisms of C6/LiFePO4 batteries: experimental analyses of cycling-induced aging
10.1016/j.electacta.2016.05.091 · ExternalCitation · doi-reference
Implementing intermittent current interruption into Li-ion cell modelling for improved battery diagnostics
10.1016/j.electacta.2022.140888 · ExternalCitation · doi-reference
A comparison between physics-based Li-ion battery models
10.1016/j.electacta.2024.144360 · ExternalCitation · doi-reference
Comparison of battery electromotive-force measurement and modelling approaches
10.1016/j.est.2022.105910 · ExternalCitation · doi-reference
Evaluating the determination of solid-phase diffusion and reaction-rate constant for Li-ion batteries
10.1016/j.est.2025.117628 · ExternalCitation · doi-reference
A fast and accurate method for inferring solid-state diffusivity in lithium-ion battery active materials
10.1016/j.est.2026.120831 · ExternalCitation · doi-reference
Analysis of the galvanostatic intermittent titration technique (GITT) as applied to a lithium-ion porous electrode
10.1016/j.jpowsour.2008.09.045 · ExternalCitation · doi-reference
Review of simplified pseudo-two-dimensional models of lithium-ion batteries
10.1016/j.jpowsour.2016.07.036 · ExternalCitation · doi-reference
Model simplifications and their impact on computational complexity for an electrochemistry-based battery modeling toolbox
10.1016/j.jpowsour.2020.229427 · ExternalCitation · doi-reference
Determination of state-of-charge dependent diffusion coefficients and kinetic rate constants of phase changing electrode materials using physics-based models
10.1016/j.powera.2021.100056 · ExternalCitation · doi-reference
Modeling of all-solid-state thin-film Li-ion batteries: accuracy improvement
10.1016/j.ssi.2019.02.003 · ExternalCitation · doi-reference
Electrochemical modeling of GITT measurements for improved solid-state diffusion coefficient evaluation
10.1021/acsaem.1c02218 · ExternalCitation · doi-reference
NIH image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · ExternalCitation · doi-reference
Rapid determination of solid-state diffusion coefficients in Li-based batteries via intermittent current interruption method
10.1038/s41467-023-37989-6 · ExternalCitation · doi-reference
Battery state estimation for a single particle model with electrolyte dynamics
10.1109/tcst.2016.2571663 · ExternalCitation · doi-reference
Comparison of modeling predictions with experimental data from plastic lithium ion cells
10.1149/1.1836921 · ExternalCitation · doi-reference
Development of experimental techniques for parameterization of multi-scale lithium-ion battery models
10.1149/1945-7111/ab9050 · ExternalCitation · doi-reference
GITT analysis of lithium insertion cathodes for determining the lithium diffusion coefficient at low temperature: challenges and pitfalls
10.1149/1945-7111/ab9404 · ExternalCitation · doi-reference
Full parameterization study of a high-energy and high-power Li-Ion cell for physicochemical models
10.1149/1945-7111/ace1a7 · ExternalCitation · doi-reference
Initial proof-of-concept for an accelerated galvanostatic intermittent titration technique via embedded machine learning
10.1149/1945-7111/ae26cd · ExternalCitation · doi-reference
Understanding the role of microstructure in the extraction of solid-state diffusion coefficients by a 3D modeling approach
10.1149/1945-7111/ae7cb8 · ExternalCitation · doi-reference
Modeling and simulation of lithium-ion batteries from a systems engineering perspective
10.1149/2.018203jes · ExternalCitation · doi-reference
Galvanostatic intermittent titration and performance based analysis of LiNi0.5Co0.2Mn0.3O2 cathode
10.1149/2.1701713jes · ExternalCitation · doi-reference
