Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal JOIN (Jurnal Online Informatika) Building of Informatics, Technology and Science Jurnal Algoritma Journal of Multiscale Materials Informatics
Santosa, Akbar Priyo
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Multiscale Materials Informatics

 1 
Quantum support vector regression for predicting corrosion inhibition of drugs Santosa, Akbar Priyo; Akrom, Muhamad
Journal of Multiscale Materials Informatics Vol. 1 No. 2 (2024): October
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jimat.v1i2.11427

Abstract

This study evaluates the performance of Quantum Support Vector Regression (QSVR) in predicting material properties using limited data. Experimental results show that the QSVR model consistently produces superior prediction accuracy compared to previous conventional regression models. This improvement is especially evident in the prediction accuracy for small and complex datasets, where QSVR can better capture non-linear patterns. The superiority of QSVR in processing data with a quantum approach provides great potential in developing predictive models in materials science and computational chemistry.
Co-Authors Akrom, Muhamad Mawaddah, Lubna Rizky Pratama, Muhammad Hafiz Rosyid, Muhammad Reesa