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Supervise Machine Learning Interface to Predict Physical Properties of Binary Solutions

Year: 2024

Type: conference-paper

Source: International Conference on Technological Advancements in Computational Sciences (ICTACS)

DOI: 10.1109/ictacs62700.2024.10841123

Authors: Poorva Agrawal, Asita Ganatra, Shrishti Prasad, Prakriti Kumari, Rupali Atul Mahajan, Pradnya Mehta

Institution: Symbiosis International University

Language: English

Topic: Thermodynamic properties of mixtures

Subfield: Fluid Flow and Transfer Processes

Field: Chemical Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4406657933

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Cites: 12

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Related to: 10