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MUHAMAD AKROM

Universitas Dian Nuswantoro S1 - Teknik Informatika SINTA ID : 6741450
559
SINTA Score Overall
299
SINTA Score 3Yr
0
Affil Score
0
Affil Score 3Yr
Latest number of Publication and Citations
Development of quantum machine learning to evaluate the corrosion inhibition capability of pyrimidine compounds
Authors : M Akrom, S Rustad, HK Dipojono Materials Today Communications 39, 108758, 2024
2024 18 cited
Investigation of Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds through Machine Learning
Authors : W Herowati, M Akrom, NN Hidayat, T Sutojo Journal of Multiscale Materials Informatics 1 (1), 1-9, 2024
2024 0 cited
Implementation of quantum machine learning in predicting corrosion inhibition efficiency of expired drugs
Authors : MR Rosyid, L Mawaddah, AP Santosa, M Akrom, S Rustad, HK Dipojono Materials Today Communications 40, 109830, 2024
2024 0 cited
Quantum machine learning for corrosion resistance in stainless steel
Authors : M Akrom, S Rustad, T Sutojo, HK Dipojono, R Maezono, M Solomon Materials Today Quantum 3, 100013, 2024
2024 0 cited
Implementation of Polynomial Functions to Improve the Accuracy of Machine Learning Models in Predicting the Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds as …
Authors : S Budi, M Akrom, H Al Azies, U Sudibyo, T Sutojo, GA Trisnapradika, ... KnE Engineering, 78–87-78–87, 2024
2024 5 cited
Investigasi Model Machine Learning Terbaik untuk Memprediksi Kemampuan Penghambatan Korosi oleh Senyawa Benzimidazole
Authors : M Akrom, CAP Sumarjono, GA Trisnapradika Komputika: Jurnal Sistem Komputer 13 (1), 56-62, 2024
2024 0 cited
A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds
Authors : M Akrom, S Rustad, HK Dipojono, R Maezono Artificial Intelligence Chemistry 2 (2), 100073, 2024
2024 0 cited
A Machine Learning Approach for Forecasting the Efficacy of Pyridazine Corrosion Inhibitors
Authors : GA Trisnapradika, M Akrom, S Rustad, HK Dipojono, R Maezono, ...
2024 0 cited
Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds
Authors : M Akrom, S Rustad, HK Dipojono Materials Today Quantum 2, 100007, 2024
2024 16 cited
Ensemble Learning Model in Predicting Corrosion Inhibition Capability of Pyridazine Compounds
Authors : DA Rachman, M Akrom Journal of Multiscale Materials Informatics 1 (1), 38-43, 2024
2024 0 cited
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Summary

Article Quartile
Research Output
  Scopus GScholar WOS
Article 14 68 0
Citation 119 443 0
Cited Document 10 40 0
H-Index 6 13 0
i10-Index 5 15 0
G-Index 1 3 0
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