Mr Amirali Shateri
| Name | Mr Amirali Shateri |
|---|---|
| Research institute | College of Science and Engineering |
| ORCID | https://orcid.org/0000-0002-6399-0211 |
Research outputs
Alcohol additives to enhance ammonia-methane combustion efficiency and reduce emissions: A reactive force field analysis
Shateri, A., Yang, Z., Sherkat, N. and Jianfei Xie 2026. Alcohol additives to enhance ammonia-methane combustion efficiency and reduce emissions: A reactive force field analysis. Fuel. 405, pp. 1-26. https://doi.org/10.1016/j.fuel.2025.136565A hybrid molecular dynamics–machine learning framework for boiling point estimation in aromatic fluids
Shateri, A., Yang, Z., Sherkat, N. and Jianfei Xie 2025. A hybrid molecular dynamics–machine learning framework for boiling point estimation in aromatic fluids. Case Studies in Thermal Engineering. 73, pp. 1-23. https://doi.org/10.1016/j.csite.2025.106684Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models
Shateri, A., Yang, Z., Liu, Y. and Xie, J. 2025. Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models. Fuel. 389, pp. 1-22. https://doi.org/10.1016/j.fuel.2025.134590Machine Learning-Based Molecular Dynamics Studies on Predicting Thermophysical Properties of Ethanol–Octane Blends
Shateri, A., Yang, Z. and Xie, J. 2025. Machine Learning-Based Molecular Dynamics Studies on Predicting Thermophysical Properties of Ethanol–Octane Blends. Energy and Fuels. 39 (2). https://doi.org/10.1021/acs.energyfuels.4c05653New insights into impact-induced removal of the deposited droplet
Xie, F., Xin, H., Liu, Q., Yang, Z., Shateri, A., Hong, W. and Liao, M. 2024. New insights into impact-induced removal of the deposited droplet. Physics of Fluids. 36 (11), pp. 1-33. https://doi.org/10.1063/5.0240101Phase diagram for nanodroplet impact on solid spheres：From hydrophilic to superhydrophobic surfaces
Liao, M, Liu, Q, Yang, Z., Shateri, A., Hong, W and Xie, F 2024. Phase diagram for nanodroplet impact on solid spheres：From hydrophilic to superhydrophobic surfaces. Physics of Fluids. 36 (9), pp. 1-45. https://doi.org/10.1063/5.0228131Use of magnetic fluids in process system for pipe isolations
Emmerson, J. O., Amirali Shateri and Jianfei Xie 2024. Use of magnetic fluids in process system for pipe isolations. Heliyon. 10 (15), pp. 1-14. https://doi.org/10.1016/j.heliyon.2024.e35221Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines
Shateri, A., Yang, Z. and Xie, J. 2024. Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines. Energy and AI. 16, pp. 1-17. https://doi.org/10.1016/j.egyai.2024.100360Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines
Amirali Shateri, Zhiyin Yang and Jianfei Xie 2024. Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines. Energy and AI. 16, pp. 1-17. https://doi.org/10.1016/j.egyai.2024.1003601367
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