Vol. 1 No. 1 (2024): April

Articles

• Investigation of Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds through Machine Learning

  Wise Herowati, Muhamad Akrom, Novianto Nur Hidayat, Totok Sutojo

  1-9

  • PDF

• 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

  10-15

  • PDF

• 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

  16-21

  • PDF

• Green Corrosion Inhibitors for Iron Alloys: A Comprehensive Review of Integrating Data-Driven Forecasting, Density Functional Theory Simulations, and Experimental Investigation

  Muhamad Akrom

  22-37

  • PDF

• Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds

  Dian Arif Rachman, Muhamad Akrom

  38-43

  • PDF

• Comparison of Ridge and Kernel Ridge Models in Predicting Thermal Stability of Zn-MOF Catalysts

  Gustina Alfa Trisnapradika, Muhamad Akrom

  44-48

  • PDF