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References from Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity. Local targets link to admitted publications; unresolved targets remain external evidence.
A bottom-up approach to lithium-ion battery cost modeling with a focus on cathode active materials.
10.3390/en12030504 · 2019 · External reference
Unresolved reference
2009 · External reference
Prospects for reducing the processing cost of lithium ion batteries.
10.1016/j.jpowsour.2014.11.019 · 2015 · External reference
An effective mixing for lithium ion battery slurries.
10.4236/aces.2014.44053 · 2014 · External reference
Quality control tool of electrode coating for lithium-ion batteries based on x-ray radiography.
10.1016/j.jpowsour.2015.08.030 · 2015 · External reference
A comprehensive understanding of electrode thickness effects on he electrochemical performances of Li-ion battery cathodes.
10.1016/j.electacta.2012.03.161 · 2012 · External reference
Tracking inhomogeneity in high-capacity lithium iron phosphate batteries.
10.1016/j.jpowsour.2014.11.035 · 2015 · External reference
Heterogeneous behaviour of the lithium battery composite electrode LiFePO4.
10.1016/j.jpowsour.2012.11.057 · 2013 · External reference
Process modeling of the electrode calendering of lithium-ion batteries regarding variation of cathode active materials and mass loadings.
10.1016/j.est.2018.05.018 · 2018 · External reference
Artificial intelligence investigation of nmc cathode manufacturing parameters interdependencies.
10.1002/batt.201900135 · 2020 · External reference
Impact of the calendering process on the interfacial structure and the related electrochemical performance of secondary lithium-ion batteries.
2013 · External reference
Impacts of variations in manufacturing parameters on performance of lithium-ion-batteries.
10.1149/2.1081802jes · 2018 · External reference
Optimization of a single lithium-ion battery cell with a gradient-based algorithm.
10.1149/2.036308jes · 2013 · External reference
Modelling the impact of variations in electrode manufacturing on lithium-ion battery modules.
10.1016/j.jpowsour.2012.03.065 · 2012 · External reference
On the impact of the slurry mixing procedure in the electrochemical performance of composite electrodes for Li-ion batteries: acase study for mesocarbon microbeads (mcmb) graphite and co3o4.
10.1016/j.jpowsour.2011.07.045 · 2011 · External reference
Materials discovery and design using machine learning.
10.1016/j.jmat.2017.08.002 · 2017 · External reference
Lithium-ion battery remaining useful life estimation with an optimized relevance vector machine algorithm with incremental learning.
10.1016/j.measurement.2014.11.031 · 2015 · External reference
Predicting battery life with early cyclic data by machine learning.
10.1002/est2.98 · 2019 · External reference
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications.
10.1016/j.jpowsour.2013.05.040 · 2013 · External reference
Exploring the potential of machine learning in reducing the computational time/expense and improving the reliability of engine optimization studies.
2018 · External reference
Random forest regression for online capacity estimation of lithium-ion batteries.
10.1016/j.apenergy.2018.09.182 · 2018 · External reference
Machine learning coupled multi-scale modeling for redox flow batteries.
2019 · External reference
Battery production design using multi-output machine learning models
10.1016/j.ensm.2021.03.002 · 2021 · External reference
Data mining in lithium-ion battery cell production
10.1016/j.jpowsour.2018.12.062 · 2019 · External reference
Feature analyses and modelling of lithium-ion batteries manufacturing based on random forest classification
2021 · External reference
Data-and expert-driven analysis of cause-effect relationships in the production of lithium-ion batteries
2019 · External reference
Data-driven assessment of electrode calendering process by combining experimental results, in-silico mesostructures generation and machine learning
10.1016/j.jpowsour.2020.229103 · 2020 · External reference
A tutorial on principal component analysis.
2014 · External reference
The application of principal component analysis to drug discovery and biomedical data.
10.1016/j.drudis.2017.01.005 · 2017 · External reference
Searching for high-binding peptides to bile acid for inhibition of intestinal cholesterol absorption using principal component analysis.
2019 · External reference
Non-targeted method to detect honey adulteration: combination of electrochemical and spectrophotometric responses with principal component analysis.
10.1016/j.jfca.2020.103466 · 2020 · External reference
Variables quantitatives : analyse en composantes principales.
2017 · External reference
An efficient k-means clustering algorithm : analysis and implementation.
10.1109/tpami.2002.1017616 · 2002 · External reference
Review on determining number of clusters in k-means clustering.
2013 · External reference
Kruskal-wallis test.
2010 · External reference
P-Values: interpretation and methodology.
1975 · External reference
Https://machinelearningmastery.com/train-test-split-for-evaluating-machine-learning-algorithms/
2020 · External reference
A hybrid approach using oversampling technique and cost-sensitive learning for bankruptcy prediction.
2019 · External reference
A naive bayes model for robust remaining useful life prediction of lithium-ion battery.
10.1016/j.apenergy.2013.12.020 · 2014 · External reference
Online estimation of lithium-ion battery capacity using sparse bayesian learning.
10.1016/j.jpowsour.2015.04.166 · 2015 · External reference
Prognostics methods for battery health monitoring using a bayesian framework.
2009 · External reference
A novel selective naïve bayes algorithm.
10.1016/j.knosys.2019.105361 · 2020 · External reference
The optimality of Naives Bayes.
2004 · External reference
Unresolved reference
External reference
Improvised initialization of the em algorithm for mixture model parameter estimation.
10.3390/math8030373 · 2020 · External reference
The em algorithm and extensions.
2008 · External reference
A scored auc metric for classifier evaluation and selection.
2005 · External reference
The use of roc and auc in the validation of objective image fusion evaluation metrics.
10.1016/j.sigpro.2015.03.007 · 2015 · External reference
Constructive versus destructive heterogeneity in porous electrodes of lithium-ion batteries
10.1021/acsaem.0c01966 · 2020 · External reference
Understanding the calendering processability of Li (Ni0. 33Mn0. 33Co0. 33) O2-based cathodes.
2021 · External reference
