Robust Machine Learning for Predicting Thermal Stability of Metal-Organic Framework DOI
Harun Al Azies, Muhamad Akrom, Supriadi Rustad

et al.

Chemistry Africa, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Language: Английский

Quantum machine learning for ABO3 perovskite structure prediction DOI
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

et al.

Computational Materials Science, Journal Year: 2025, Volume and Issue: 250, P. 113694 - 113694

Published: Jan. 16, 2025

Language: Английский

Citations

3
Experimental and Theoretical Insights into the Corrosion Mitigation Efficacy of Novel Quinoline-Based Pyrazole and Isoxazole Derivatives. DOI

A. Suresh Kumar,

Sachin Kumar, Tarun Kanti Sarkar

et al.

Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2025, Volume and Issue: unknown, P. 136241 - 136241

Published: Jan. 1, 2025

Language: Английский

Citations

1
A comparative density functional theory (DFT) and molecular dynamics study on Natamycin and Cefmetazole as effective corrosion inhibitor for mild steel: Electronic properties and adsorption behavior DOI
F. E. Abeng, Abhinay Thakur, Valentine Chikaodili Anadebe

et al.

Computational and Theoretical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 115200 - 115200

Published: March 1, 2025

Language: Английский

Citations

1
Machine Learning-Based Prediction of Corrosion Inhibition Efficiency of Expired Pharmaceuticals: Model Development and Application DOI

Dzaki Asari Surya Putra,

Nibras Bahy Ardyansyah,

Nicholaus Verdhy Putranto

et al.

Journal of Bio- and Tribo-Corrosion, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 21, 2025

Language: Английский

Citations

0
Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides DOI

Muhamad Akrom,

Supriadi Rustad, Hermawan Kresno Dipojono

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Stacking Classical-Quantum Hybrid Learner Approach for Corrosion Inhibition Efficiency of N-Heterocyclic Compounds DOI Creative Commons
Muhamad Akrom, Supriadi Rustad,

T. Sutojo

et al.

Results in Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 100462 - 100462

Published: Feb. 1, 2025

Language: Английский

Citations

0
Optimizing the Architecture of a Quantum–Classical Hybrid Machine Learning Model for Forecasting Ozone Concentrations: Air Quality Management Tool for Houston, Texas DOI Creative Commons
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(3), P. 255 - 255

Published: Feb. 23, 2025

Keeping track of air quality is paramount to issue preemptive measures mitigate adversarial effects on the population. This study introduces a new quantum–classical approach, combining graph-based deep learning structure with quantum neural network predict ozone concentration up 6 h ahead. The proposed architecture utilized historical data from Houston, Texas, major urban area that frequently fails comply regulations. Our results revealed smoother transition between classical framework and its counterpart enhances model’s results. Moreover, we observed min–max normalization increased ansatz repetitions also improved hybrid performance. was evident evaluating assessment metrics root mean square error (RMSE), coefficient determination (R2) forecast skill (FS). Values for R2 FS horizons considered were 94.12% 31.01% 1 h, 83.94% 48.01% 3 75.62% 57.46% forecasts. A comparison existing literature both QML models methodology could provide competitive results, even surpass some well-established forecasting models, proving be valuable resource forecasting, thus validating this approach.

Language: Английский

Citations

0
Predicting lattice constant in ABX3 perovskite via quantum machine learning DOI
Muhamad Akrom, Supriadi Rustad, Pulung Nurtantio Andono

et al.

Computational Materials Science, Journal Year: 2025, Volume and Issue: 253, P. 113865 - 113865

Published: April 7, 2025

Language: Английский

Citations

0
Robust Machine Learning for Predicting Thermal Stability of Metal-Organic Framework DOI
Harun Al Azies, Muhamad Akrom, Supriadi Rustad

et al.

Chemistry Africa, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Language: Английский

Citations

1