Fine-tuning optimization of poly lactic acid impact strength with variation of plasticizer using simple supervised machine learning methods

The use of machine learning to fine-tune the properties of materials is a remarkable achievement in the 21st century. Three machine learning (ML) methods were used to fine-tune and optimize the impact strength of polylactic acid (PLA) with different plasticizers: KNN (K-nearest neighbors), SVR (Supp...

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Bibliographic Details
Main Authors: Jaka Fajar Fatriansyah, Elvi Kustiyah, Siti Norasmah Surip, Andreas Federico, Agrin Febrian Pradana, Aniek Sri Handayani, Mariatti Jaafar, Donanta Dhaneswara
Format: Article
Language:English
Published: Budapest University of Technology 2023-09-01
Series:eXPRESS Polymer Letters
Subjects:
Online Access:http://www.expresspolymlett.com/letolt.php?file=EPL-0012571&mi=cd