August 29, 2021 article Perspective: Machine Learning of Thermophysical Properties Fluid Phase Equilibria DOI: 10.1016/j.fluid.2021.113206 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 59 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Molecular machine learning in chemical process design 2026 Current Opinion in Chemical Engineering review Materials Science Machine Learning in Materials Science Open access 5 citations Thermodynamics-consistent graph neural networks 2024 Chemical Science article Engineering Phase Equilibria and Thermodynamics Open access 38 citations Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids 2023 Computers & Chemical Engineering article Chemical Engineering Ionic liquids properties and applications Open access 86 citations Gibbs–Duhem-informed neural networks for binary activity coefficient prediction 2023 Digital Discovery article Engineering Phase Equilibria and Thermodynamics Open access 60 citations 4 results References 0