AssessingtheImpactofPolydispersityontheThicknessofPolystyreneThinFilmstoAdapta MonodispersePolystyreneMachineLearningModel
DhruvaBhat,DvitaBhattacharya,IsabelleChan,AditiKiran,EliKrasnoff,BrennaRen,JohnJerome,MiriamRafailovich
Introduction
Spin-coated polystyrene thin films have a variety of industrial applications including biomedical device production, electronics manufacturing,andnanomaterialsynthesis,with film thickness affecting their mechanical, electrical,andthermalproperties[1].
Previous study by Wang et al. used a machinelearningmodeltocreatea3Dmanifold relating molecular weight (MW), solution concentration,andfilmthickness[2].
Goals
1. To evaluate the accuracy of their model on polydispersepolystyrenethinfilms
2. To examine the correlation between ratio of monodisperse samples and thickness of thin-film
3. To adjust their model to work with polydisperse polystyrene composed of two monodispersemolecularweights
Methods
Figure1.Diagramofspincoating[3].
RMSE:2.636
RMSPE:15.873
MAPE:12.411
Results
R2=0.959
Y=0.000143X2-0.0075X+0.3326
Conclusion
-HighererrorofWangetal.modelwithourdata usingweightedaverageasmolecularweight -Polydisperserepresentativemolecularweight moreaffectedby30K
-Calculablemodelerrorcausedbyspecificratio
References
[1]Kumar,S.,&Aswal,D.K.(1970,January1).Thinfilm andsignificanceofitsthickness.SpringerLink. https://link.springer.com/chapter/10.1007/978-981-15-61160_1#:~:text=Thickness%20is%20one%20of%20the,electric al%2C%20etc.%2C%20depends.
[2]Wang,A.C.,Chen,S.Z.,Xie,E.etal.Utilizingmachine learningtomodelinterdependencyofbulkmolecular weight,solutionconcentration,andthicknessofspincoated polystyrenethinfilms.MRSCommunications14,230–236 (2024).https://doi.org/10.1557/s43579-024-00527-6
[3]Kamil,Asaad&Bakr,Nabeel&Mubarak,T.& Al-Zanganawee,J..(2022).EffectofAuandAg nanoparticlesadditiononthemorphological,structuraland opticalpropertiesofZnOthinfilmsdepositedbysol-gel method.JournalofOvonicResearch.18.431-442. 10.15251/JOR.2022.183.431.