New insights into crude oil-brine interfacial tension via machine learning algorithms
Rashed Abu HammourFaculty of Technical Education, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, JordanDilipkumar S. PatelDepartment of Mechanical Engineering, Faculty of Engineering, Gokul Global University, Sidhpur, Gujarat, IndiaT. RamachandranDepartment of Mechanical Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, IndiaTariq Abdulkader AlrihaimPetroleum Department, College of Engineering, Alnoor University, Mosul, IraqAbinash MahapatroDepartment of Mechanical Engineering, Siksha ’O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751030, IndiaRohit KumarDepartment of Mechanical Engineering, Sharda School of Engineering and Sciences, Sharda University, Greater Noida, IndiaKhushnud AzizjanovDepartment of Natural Sciences, Mamun University, Khiva, UzbekistanVikas WassonDepartment of Computer Science Engineering, Chandigarh University, Mohali, Punjab, IndiaHojjat AbbasiChemistry Department, Herat University, Herat, Afghanistan
2026en
ABI
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