Vol 1, No 1 (2024)

April

Table of Contents

Articles

Investigation of Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds through Machine Learning
Wise Herowati, Muhamad Akrom, Novianto Nur Hidayat, Totok Sutojo
PDF
1-9
A Machine Learning Model for Evaluation of the Corrosion Inhibition Capacity of Quinoxaline Compounds
Noor Ageng Setiyanto, Harun Al Azies, Usman Sudibyo, Ayu Pertiwi, Setyo Budi, Muhamad Akrom
PDF
10-15
Development of a Machine Learning Model to Predict the Corrosion Inhibition Ability of Benzimidazole Compounds
Aprilyani Nur Safitri, Gustina Alfa Trisnapradika, Achmad Wahid Kurniawan, Wahyu AJi Eko Prabowo, Muhamad Akrom
PDF
16-21
Green Corrosion Inhibitors for Iron Alloys: A Comprehensive Review of Integrating Data-Driven Forecasting, Density Functional Theory Simulations, and Experimental Investigation
Muhamad Akrom
PDF
22-37
Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds
Dian Arif Rachman, Muhamad Akrom
PDF
38-43
Comparison of Ridge and Kernel Ridge Models in Predicting Thermal Stability of Zn-MOF Catalysts
Gustina Alfa Trisnapradika, Muhamad Akrom
PDF
44-48